Capital Markets & Research AI

Snowstone sells operational value creation analysis to private equity firms. It connects read only to a portfolio company's systems, reads its email, chat, documents and system exports, rebuilds how work actually runs, and ranks each operational fix by its estimated effect on EBITDA. Operating partners and value creation teams are the main buyers, alongside portfolio company executives and the performance improvement consultants who work for funds. The work comes in three forms. An operational diagnostic traces a KPI that is off track back through the processes behind it to a root cause. Value creation planning turns the operational part of a fund's savings target into initiatives with owner roles, milestones and an EBITDA bridge, delivered with a 100 day plan in the fund's own template after the deal closes. Bolt on integration planning compares a platform company with each acquisition it absorbs, recommends which processes and systems to keep, and sizes the cost synergies from duplicated roles, overlapping software and supplier spend. Every finding links to the email, document or file behind it, and Snowstone aims to go from kickoff to ranked findings in seven days. Each client gets a single tenant environment on Microsoft Azure, in the United States unless another region is agreed, or can run Snowstone in its own cloud or on its own servers. Anthropic and OpenAI models do the language analysis under zero data retention terms, client data trains no model, and engagement data and credentials are deleted within 30 days of the engagement ending. SOC 2 Type 2 and ISO 27001 work is under way. Snowstone is made by Cerenovus Inc., a Delaware corporation based in Boston from Y Combinator's Summer 2026 batch, and was sold as Cerenovus before taking its current name. It is unrelated to the Johnson & Johnson neurovascular business called Cerenovus.

AgentSmyth sells an agent platform for capital markets desks at banks, brokers and asset managers. Its Trading Harness reads a question, decides which of six specialist agents it needs and runs them in parallel. Macro and Sentiment read the economic regime and the crowd, Quant and Options handle factors, backtests, skew and dealer positioning, Earnings covers revisions and implied moves, and Portfolio measures the effect on a book. The answer comes back as one cited view, from a pre market brief to a pre earnings package or a trade ticket with entry, invalidation and sizing. Desks and Cards, shipped in August 2026, turn analysis a desk keeps rebuilding into cards that rerun on fresh data and can be shared as a method. Calculations run in code with receipts attached, and coverage spans 5,005 global equities. The platform runs as multi tenant or single tenant software, in a customer's VPC or on premises, and customers choose which models it may use. FinTech Collective and Thomson Reuters jointly led its $8.7 million seed round in 2025, when AgentSmyth said 48 institutional clients with $2 billion to $50 billion in assets used it, and BNY took it into a collaboration program. AgentSmyth was founded in New York in March 2024 by Pulkit Jaiswal, Daniel McCooey and Mike Block.

F2 builds an agentic platform for private credit funds and commercial banks that covers screening, underwriting and the monitoring of loans after they close. Adam, its deal agent, breaks a deal into tasks and hands them to sub agents that build IC memos, Excel models with cell level audit trails, decks, CIMs and quarterly reports. Institutional Knowledge turns a lender's past memos, models, credit agreements and surveillance reports into a precedent base that can be filtered by status, industry, capital structure and vintage. Sheets pulls figures from PDFs, images and data room files into live spreadsheets, and Audit Mode writes every calculation into an Excel Databook linked back to the source file, sheet and cell. F2 says more than 100 private credit funds and banks use it, managing more than $400 billion between them. Golub Capital invested $5 million and will deploy F2 to augment its investment processes. Decathlon Capital Partners is the subject of a dated case study, and Bain Capital, Western Alliance Bank and Live Oak Bank are among its clients. The platform routes work across models from Anthropic, OpenAI and Google, states SOC 2 Type II and GDPR compliance, and says client data is never used for training. F2 spun out in 2025 from Arc, the business banking platform its chief executive Don Muir cofounded. It raised $24 million in equity by June 2026, including a $14 million seed round led by HighlandX, and is based in New York.

AllMind is a research terminal for institutional investment teams at asset managers, hedge funds, sell side research desks and corporate investor relations groups. Its financial ontology resolves every mention of a company, whether in a filing, an earnings call or a firm's own note, onto one object, then links that object to suppliers, estimates, guidance and theses. Behind it sit what AllMind counts as more than 6,800 licensed datasets and 750 million documents. Chat answers questions with passage level citations. Grids runs one question across hundreds of tickers with a cited answer in every cell, and Reports drafts earnings reviews, IC memos, comps analyses, credit notes and initiation style primers in a firm's house template. Agent Studio runs deep dives in the background, schedules recurring briefs and checks a stated thesis against each new filing, transcript and headline. Licensed content comes from FactSet, S&P Capital IQ, LSEG, MSCI, Databento, Aiera, Quartr and BlueMatrix, with ratings from Fitch, Moody's, DBRS and S&P Global Ratings, across 18 markets in North America and Europe. Named clients include RBC Global Asset Management, Sagard, Armistice Capital and Algonquin Capital. AllMind has a SOC 2 Type II report, hosts data in Toronto, Virginia and Iowa, and says customer content never trains its models. AllMind is headquartered in Toronto. Anwaar Malik, its cofounder and chief executive, announced the launch in July 2025.

Farsight builds AI that produces finished banking deliverables, from pitch decks and confidential information memoranda to investment committee memos, valuation materials and financial models, written in PowerPoint, Excel and Word and kept in sync across all three. Freeform, launched in May 2026, turns a single prompt plus transcripts, financial data, marketing materials and prior deal documents into a complete deliverable, including CIMs of 60 pages or more. Prior Art Match shapes each output to a firm's past work and house voice, and proactive agents draft materials before anyone asks, working from CRM records, past deals and institutional knowledge. The 2025 acquisition of Presentable AI added plain language editing of fully custom slides. Market data flows in from S&P Capital IQ Pro, PitchBook, SEC filings and North Data's European company registers. S&P Global Market Intelligence took a minority stake in July 2026 and plans to sell Farsight's deliverable builder as an add on to Capital IQ Pro later this year. TresVista signed a multiyear agreement in October 2026 to use Farsight across work for more than 400 clients. Each customer runs in its own VPC hosted by Farsight on AWS, in its own cloud or on premises. Samir Dutta, Noah Faro and Kunal Tangri spun Farsight out of MIT. It raised a $16 million Series A led by SignalFire in 2025 and is based in New York.

Primer is an AI analyst for equity investors, built by former analysts to take on the research work behind a buy side investment view. It runs in the browser with research sources already included, from filings, transcripts and consensus estimates to market and alternative data, so a team does not have to wire up each source itself. It reads the source material, pulls out the drivers, builds the financial model, writes the research and can monitor a coverage list on a schedule, flagging what changed without waiting to be asked. Rather than working cell by cell inside Excel, it builds models on its own modeling infrastructure and converts the finished model into Excel, and it learns each team's coverage, preferences and standards over time. The company is Kernel AI Ltd, trading as Primer and registered in London. Its team includes founder and portfolio manager Seb Jory, cofounder Ruggero Gargiulo, a former analyst and quant, head of applied AI Alistair Smallwood, and chief technology officer Chris Mingard. Primer publishes its evaluations and names the model underneath, GPT-5.5, which it says scores 44.3 percent on the BigFinanceBench leaderboard on its own and 79.1 percent inside Primer on the benchmark's public questions. It also reports a backtest of its earnings previews in which trading on its strongest calls produced 34 percent alpha against the S&P 500 over 203 trading days.

Tracelight is an AI platform for building, checking and presenting financial models, used by deal, valuation and diligence teams at private equity firms, investment banks, corporate development groups and advisory firms. It works inside Excel, PowerPoint and Word through add ins, and on its own web platform. An analyst can ask it to build an operating model, a leveraged buyout or a discounted cash flow valuation to the firm's own template, refresh a comparable companies table, map a trial balance into financial statements, or turn a live model into an investment committee deck in which every figure is cited to its source. Its model review feature audits a workbook for broken links, wrong references, sign flips and other logic faults, and every edit the agent makes arrives as a changeset a person can inspect. The company was founded in London in 2024 by Peter Fuller, Aleksander Misztal and Janek Zimoch, and raised a $3.6 million seed round led by Chalfen Ventures in 2025. Customers shown on its site include Arma Partners, Puma Growth Partners, Vistra, RSM and Armanino. It publishes its own benchmark, run across 80 real Excel models, comparing its agent with the leading general models from Anthropic and OpenAI on building formulas and finding planted errors. It sells on security as much as on speed: a SOC 2 Type II audit, a contractual promise never to train on customer data, and a choice of hosting region for enterprise customers.

Crunched is an AI analyst that works inside Excel and PowerPoint, built for the people who live in spreadsheets at investment banks, private equity firms, investment firms and advisory practices. It builds valuation models, business cases and leveraged buyout models from scratch, fills in a firm's existing templates, and links data pulled from information memorandums, annual reports, PDFs, images and web sources into those models before turning the results into slides. Its most distinctive job is review. It checks a workbook of any size for broken links, logic errors and finance specific mistakes, such as a missing add back in a cash flow or a mislinked revenue assumption, so an initial review that used to wait for a vice president happens in minutes. Every number stays live linked from source to model to slide, and any change the agent makes can be undone and reapplied. The founders, Philip Borge and Michael Sakowski, spent more than 10,000 hours in Excel in the private equity practice at McKinsey before starting the company in 2025 with Lars Musaeus and Markus Skagemo. Crunched went through Y Combinator and raised a seed round of about $6 million, with First Round, 20VC and Shorooq Partners among its backers. It is headquartered in San Francisco and runs its engineering from Oslo. Rather than selling one generic agent, it tailors workflows to each firm's own methodology, working alongside customer teams. Its own materials name professionals at firms including Pareto, Nordover Capital, BCG, PwC, BDO and CBRE among its users, and its most recent positioning leads with advisory and audit firms alongside finance.

Shortcut is an AI agent that builds and edits financial models in Microsoft Excel. It comes from Fundamental Research Labs, an applied research company that spun out of MIT in late 2023 and was called Altera until 2025. An analyst or associate describes the job in plain words. The agent plans the steps, writes live formulas and formatting into the workbook, and hands back a model a reviewer can trace. Typical jobs are three statement models, DCF valuations and LBO models with debt schedules, along with comps refreshes and quarterly updates from filings. It runs as an Excel add in, in a web app, on the Windows desktop and through a Platform API for unattended jobs. A Google Sheets plugin comes with it, and since August 2026 it also works on Word and PowerPoint files. A user can approve each change before it lands, and checkpoints let a team roll a model back. Its models come from Anthropic, OpenAI and others, beside Pivot, a finance model the company trained itself. Hedge funds, private equity firms and banks lead the list of buyers on its site. TresVista, which serves more than 350 clients, embedded the agent after a 45 day pilot. Wall Street Prep scored Shortcut's three statement model of Apple 5.9 out of 10, against 9.4 for a top human analyst. In a test by Ankura's Office of the CFO, no tool produced a usable model without meaningful human review. Pro costs $100 a month and Teams $320 a month plus $100 a seat, both on annual billing. A free plan exists. Enterprise adds customer held keys, a private model gateway and storage in the firm's own bucket. Pro and Teams conversations can train its models unless a user switches that off. Enterprise data never does. Its maker has raised more than $40 million from investors including Prosus Ventures and First Spark Ventures.

Pagaya sells a lender a second opinion on the applicants it was about to decline. Its technology integrates directly into a partner's loan origination system and underwrites applications on that partner's behalf, either running concurrently with the bank's own decision in real time or taking defined segments directly. Applicants the lender's model rejected are assessed again, and those Pagaya approves are funded through its network rather than from the lender's balance sheet. The lender keeps the customer, the relationship and the origination. The other side of the network is capital. Loans originated this way are bundled into asset backed securities and sold to roughly 155 institutional investors, spanning alternative asset managers, insurers and sovereign funds. More than $27 billion has been raised across over 85 transactions and three top rated shelves, making the company one of the largest personal loan securitization issuers in the United States. It holds little or none of the credit itself and earns fees on both sides, with management putting roughly 80 percent of fee revenue on the lending partner side. The chief financial officer describes the business as business to business to consumer, with no direct consumer interface. That structure shapes much of what follows: the person being underwritten has no relationship with, and generally no knowledge of, the company deciding their application. Scale is substantial and reported under securities law. Pagaya counts more than 31 lending partners, including a national bank, a digital lender, an auto finance company and a buy now pay later provider. It has processed more than $3.6 trillion in applications since inception and generated over $28 billion of lending. Revenue in 2025 was $1.3 billion, up 26 percent, with 2026 guidance of 1.4 to 1.575 billion and positive net income. Three asset classes are live: personal loans, auto and point of sale. Pagaya Technologies Ltd. is listed on Nasdaq, was founded in 2016, and is headquartered in New York. It is currently pursuing a claim in United States courts alleging a former partner misappropriated its underwriting model, and that partner denies the claim.

RavenPack is one of the oldest language analytics businesses in finance, founded in 2003 and headquartered in Malaga, Spain with a New York presence, and it now trades under two live names. The company name carries the original business, which reads unstructured financial text at scale and turns it into structured signal: entity resolved sentiment and event detection across more than 40,000 news sources, filings and earnings transcripts, negative news monitoring across more than 7 million companies, executive sentiment drawn from earnings calls, and packaged quantitative factors sold to hedge funds, banks and asset managers. The platform name is Bigdata.com, launched on 22 October 2024 and presented as Bigdata.com by RavenPack, which is the current delivery surface and the one a new buyer meets first. Both names belong to the same business. Everything the company sells rests on that one capability, so there is no second business to set apart. What did change is the architecture. Bigdata.com is a retrieval augmented generation platform combining vector search, run on Vespa Cloud at billion document scale, with the entity knowledge graph the company spent two decades building, exposed through an API, a research assistant, desktop and mobile applications and autonomous research agents that run tasks and produce daily pre market notes. That is a re platforming of delivery on top of a continuous data and entity resolution asset, rather than a legacy vendor bolting on artificial intelligence. The content estate is the other half of the business and is unusually well disclosed. More than 170 content providers are licensed, with the Financial Times, the Economist Intelligence Unit and Preqin named individually, alongside a podcast corpus of roughly 20,000 shows and 5 million episodes, fund holdings, jobs data, environmental and governance scores, corporate fundamentals and regulatory filings. In July 2026 the company launched what it calls the tokenization of content, a marketplace in which agents retrieve and pay for licensed premium content per token rather than per document, priced publicly. Funding includes a $20 million round led by GP Bullhound with participation from the European Investment Bank Group in 2024, and a subsequent investment from FT Ventures alongside the content agreement. Vendor material states more than 100 global financial institutions use the platform, without naming them.

Backstop sells an investment management platform to institutional allocators and the managers who raise from them. It is separately branded and separately purchasable inside ION Analytics, which acquired it in late 2021. The platform includes a research management system for fund evaluation, manager selection and due diligence, and a client relationship system built specifically for the institutional investment community rather than adapted from a general one. It also covers portfolio management and accounting and deal and pipeline management for private equity, along with investor relations and fundraising tools and an investor facing web portal. Its AI line is IntellX, which captures documents directly from the fund source and runs a classification engine over them to label each file type without human intervention. Machine learning adapts its organization to a client's own naming conventions. IntellX is aimed at the inbound document flow that reaches an asset owner's operations team as investor letters, capital account statements and manager reports. Named client wins span a large United Kingdom wealth manager, a London advisory firm running $3.5 billion, an Israeli venture fund of funds and a $6 billion United States private equity firm. Backstop is headquartered in Chicago with offices in New York and London.

YCharts sells an investment research and client engagement platform to registered investment advisers, broker dealers, banks, trust companies, turnkey asset management programs and asset managers, covering security and fund screening, charting and visualization, portfolio construction and analytics, proposal generation, client reporting and marketing content, with a separate tier for self directed investors. In June 2026 the company launched Y, an agentic assistant included in every subscription and stated to be built on Anthropic's Claude, which accepts plain language instruction and executes work directly on the platform: building portfolios, running screens, producing reports and generating client ready content. Y can be given a whole project rather than a single question, runs on a schedule or continuously in the background monitoring market conditions and refreshing commentary, and the company states every output carries compliance guardrails and customizable disclosure language. A published interoperability protocol server lets a firm reach YCharts data from the general purpose assistants it already uses. In July 2026 the company acquired Zephyr from Informa, adding a separately managed account database of roughly twenty one thousand products, the PSN separate account research franchise and the long established StyleADVISOR manager research tools. Founded in 2009 and headquartered in Chicago, serving financial professionals across North America.

ABC Quant sells Risk Shell, a quantitative risk and portfolio construction platform for fund of funds managers, hedge fund investors, pension funds, family offices and investment consultants. The platform covers asset screening across more than five hundred and fifty thousand instruments, portfolio construction and optimization, stress testing and scenario analysis, returns based and holdings based style analysis, multi factor peer group analysis, private equity risk management, shadow accounting, client relationship management and document based due diligence tools. Its published model roster names non linear and global optimization engines and regularized factor regression methods, and the company states it tests proprietary models on its own investments before releasing them. Data arrives through a real time terminal feed and from five named hedge fund database vendors consolidated into one universe. In August 2025 the firm announced Risk Shell AI, adding a natural language interface across the existing engines, stated to run on a large language model the company built and trained itself using two decades of portfolio data, risk cases and client dialogues, released first to selected pilot clients under a controlled deployment. Founded in 2005 and based in Wilmington, Delaware, with offices and representatives in Canada, Australia, Switzerland, Japan and the United Kingdom.

Bipsync sells a research management system to institutional investment teams, positioned as the place where an investment firm's accumulated judgment lives rather than as an analytics engine. The platform ingests research automatically from email, documents and third party research providers, and organizes it across teams with optional model assisted tagging. Notes, memos, meeting records, diligence material and decisions sit in one searchable system of record with configurable workflows, permissions and compliance controls. In April 2025 the company launched a named suite of AI features aimed at extracting usable findings from a firm's own proprietary research rather than from public market data, an unusual orientation in this market. A February 2026 integration with Arch pulls private markets documents directly into the workspace, including quarterly reports, financial statements, capital calls and distributions, classified by fund, manager, asset class and effective date. Bipsync was founded in 2012 by a former hedge fund analyst and is headquartered in New York with engineering in Cardiff. The company states that clients represent over $4 trillion in combined assets and include fifteen of the twenty largest United States university endowments and six of the eight Ivy League endowments.

CENTRL sells diligence automation to both sides of the institutional manager selection relationship and to the banks that oversee their own counterparties. Four products sit on one platform. DD360 is the allocator facing due diligence system, carrying questionnaire construction from industry templates or proprietary uploads, a manager and fund database, a document repository, scoring methodologies, question level benchmarking, time series analytics and remediation tracking with severity indicators. Response360 faces the other way, helping asset managers answer incoming questionnaires and requests for proposal from a centralized answer library with automated verbatim matching. BNM360 serves securities services, global custody and depositary teams overseeing agent and correspondent banks. Vendor360 covers third party risk. Above all four sits an agentic layer the company calls CentrlX, built around curated workflows, prebuilt industry integrations and permissioning controls, alongside a generative assistant that pre populates answers, detects issues, answers natural language questions across manager records and assembles board ready reports in several document formats. Founded in 2015 and headquartered in Silicon Valley with offices in New York, the United Kingdom, India and Australia, the company states that its platform is used by some of the largest banks and investment management firms across the Americas, Europe and Asia Pacific.

Dasseti, founded as Diligend and rebranded in January 2023 with Nasdaq Ventures among its strategic shareholders, builds due diligence and data exchange software sitting between institutional allocators and the managers who report to them. Two platforms face opposite sides of that exchange. Dasseti COLLECT serves asset owners, consultants and fund of funds teams running operational and investment due diligence, covering digitized questionnaires built on industry standard templates or custom ones, automated response flagging, comparison and scoring, research management, fund review workflows, a manager relationship record, an external manager portal and analytics. Dasseti ENGAGE serves the manager side, helping investor relations teams respond to questionnaires and requests for proposal, and integrates directly with the Nasdaq eVestment Omni consultant database. A separate module collects sustainability data against a long list of reporting frameworks. The inference layer runs through the workflow rather than beside it: Sidekick AI embedded across the process, Smart Docs extracting structured data from portable documents, word processor files and adviser registration filings, Smart Writer assembling investment committee ready reports directly from structured responses and source documents, and automated flagging of regulatory gaps in responses. Clients include asset owners, consultants and managers holding more than $20 trillion in combined assets.

Endex sells AI agents that do finance office work inside Microsoft Excel, Word and PowerPoint. An analyst or associate assigns a task by email or in a Teams or Slack channel, and the agent builds or updates the model, memo or deck in the file itself. Private equity firms, investment banks and corporate finance teams are the core buyers, with real estate, public equity and accounting teams beside them. The work it describes runs from operating models and LBO updates to comparison sets, quarterly model refreshes and committee papers. Drafts cite their sources, and a web workspace lets a team assign, track and review each agent. Connectors reach FactSet, Capital IQ and SEC filings, and firm systems such as NetSuite, DealCloud and Intralinks. Moelis & Company, Hg, TA Associates and RXR are among the firms shown as enterprise deployments. Models from OpenAI, Anthropic and Google Gemini run under zero data retention terms, on a platform hosted by Amazon Web Services. A SOC 2 Type II report and an ISO 27001 certificate sit in a trust center behind an access request. No price is published, and the Excel add in is offered as a trial ahead of a paid license. The company is legally Edvise, Inc., and trades as Endex.

LSEG is a London headquartered markets infrastructure and financial data group. This profile covers its Data and Analytics division, built on the 2021 purchase of Refinitiv, and the Risk Intelligence business behind World Check, not its exchange, clearing or index businesses. LSEG Workspace, the division's desktop, serves more than 350,000 users over a data estate of about 33 petabytes, with exclusive access to Reuters News. Inside Workspace, AI Search answers plain language questions across LSEG data, news, filings and research, and every claim carries a citation to the passage or data value behind it. Its FAQ names GPT-5 and Claude Opus 4.6 as the models, hosted in LSEG's own Azure cloud. Company Intelligence builds editable company reports, and Deep Research works through longer questions. Through the Microsoft partnership, Workspace data also reaches Teams, Excel and Microsoft 365 Copilot. LSEG calls its approach model agnostic. MCP connectors carry its licensed data into Claude, ChatGPT and Gemini Enterprise, among other AI tools, and a partnership with Rogo serves investment bankers. In financial crime, World Check Resolve, launched in September 2026 on the Active Intelligence engine, re ranks screening matches with machine learning and leaves every decision with the customer's analysts.

Bloomberg is a privately held New York financial data, news and technology company, founded in 1981. This profile covers its Terminal, data and analytics business. More than 350,000 people use the Terminal at asset managers, hedge funds, banks, private equity firms and corporations. Its AI centers on ASKB, a conversational interface that sends a question to a network of agents working across Bloomberg's data, news, research and analytics. ASKB entered beta in February 2026 and became generally available in October 2026, when it gained a firm's own Instant Bloomberg chats, Worksheets and files. Every answer cites its sources, and data answers come with the Bloomberg Query Language code behind them. ASKB runs on several commercial and open weight language models that Bloomberg does not name. Firms building their own agents can use Enterprise MCP, launched in September 2026, which connects licensed Data License content to the client's AI applications and checks entitlements on every request. Bloomberg also runs the AIM and TOMS order management systems, Vault for communications compliance, and market data feeds. In 2023 it published a technical paper on BloombergGPT, a 50 billion parameter finance model it built itself.

MSCI is a New York provider of indexes, risk analytics, ESG research and private capital data to the global investment community. This profile covers its data and analytics business rather than its index administration arm. Its quantitative estate for factor and risk modeling is built on the Barra and RiskMetrics lineages. The generative product is MSCI AI Portfolio Insights, launched 2024 for institutional risk and portfolio managers at asset managers, hedge funds and asset owners. It layers generative text and natural language interaction over those risk and factor models so a user can ask plain language questions about drivers of risk or issuer sentiment and receive portfolio specific narrative summaries, rather than navigating dropdowns or writing code. Alongside the assistant it runs automated anomaly detection, trend analysis and limits monitoring across portfolios, and is designed to surface the most material changes in a risk report before the working day begins. Delivery is through managed extraction and loading into a cloud data warehouse, with results reachable through Snowflake integrated data models, the MSCI Connector, curated dashboards, direct warehouse access, or a client's own tooling and assistant environments.

Morningstar is a Chicago investment research and data company founded in 1984. This profile covers its data, research and advisor software business, not Morningstar DBRS, its separately branded credit rating arm. Its flagship professional platform is Direct Advisory Suite, launched January 2025 on the Direct Platform and drawing on Morningstar Data and Analytics, combining investment research and screening, portfolio construction and analysis, the Morningstar Portfolio Risk Score, and compliance ready client proposal generation. More than 180,000 advisors use the platform. In March 2026 the company embedded an AI assistant across the suite, replacing its earlier Mo chatbot: it is composed of multiple agents, is voice enabled through the web without a separate application, and carries context from client setup through portfolio analysis to a finished proposal so an advisor can work by natural language request rather than moving between modules. It is also reachable from other assistants the advisor already uses through Morningstar's own interoperability protocol connections. The rollout began in beta with roughly 4,000 advisors and is staged through 2026 across the United States and Canada. The wider group also owns PitchBook, Morningstar Sustainalytics, Morningstar Indexes, Morningstar Retirement and Morningstar Wealth.

S&P Global Market Intelligence is the data, analytics and software division of S&P Global, run separately from S&P Global Ratings. Its flagship S&P Capital IQ Pro covers more than 109,000 public and 60 million private companies. Its Kensho unit builds the generative tools on top, including the ChatIQ assistant, Document Intelligence and an AI Data Portal that feeds S&P data into Claude, ChatGPT, Copilot and Gemini. The division also runs enterprise software such as WSO for loan portfolio management, iLEVEL for private markets, and tax and regulatory reporting tools. In July 2026 S&P reorganized it into Kensho Data & Platforms and Enterprise Solutions, and on 27 October 2026 it announced a strategic review of Capital IQ and associated data businesses.

Brightwave is a New York AI research platform for investment professionals, founded by engineers from artificial intelligence and financial data infrastructure backgrounds. Its systems synthesise analysis across a corpus of hundreds of millions of documents including securities filings, earnings call transcripts, sell side research, breaking news, market data, expert network calls, investment memos and a customer's own internal knowledge base content, then distil the findings into written narratives structured the way an analyst would write them rather than returning a ranked list of passages. Users can also question primary sources directly. Buyers span the buy side, from owner operated registered investment advisers to crossover hedge funds, with a customer base reported at over $120 billion of assets under management, and wealth management firms use it to prepare client facing market commentary. Funding totals $21 million across a seed round in June 2024 led by Decibel Partners with Point72 Ventures, and a $15 million Series A in October 2024 led by Decibel with OMERS Ventures.

Moody's Analytics is the data, research and decision solutions division of Moody's Corporation, scoped here at division level and separated from Moody's Ratings, a boundary the company itself draws on its product and trust pages. It sells to banking, buy side, insurance, corporate and public sector customers across solution lines including lending, third party risk, regulatory reporting, balance sheet management, insurance underwriting, portfolio management and model risk governance. The shipped inference line has two generations. Research Assistant launched in December 2023 as a conversational interface built on Microsoft Azure OpenAI over the proprietary data estate, covering more than 190,000 companies. Agentic Solutions followed in late 2025 as coordinated specialized agents across five workflows: company credit assessment producing a complete credit memo, portfolio monitoring with early warning signals, sales intelligence, customer and counterparty screening covering sanctions and adverse media, and private credit risk assessment. Both run over a context layer spanning more than 600 million entities. The Lending Suite absorbed Numerated Growth Technologies, acquired in November 2024, adding a loan origination system. Named AI partners include Anthropic, OpenAI, Microsoft, Databricks, Amazon Web Services and Salesforce. Moody's publishes AI principles overseen by an AI Governance Committee, its standard Core Terms with data processing and information security schedules, and a trust center listing ISO/IEC 27001:2022 certification and Global Privacy Recognition for Processors certification.

Entrilia is an early stage, venture backed fund operations software company for private capital managers, seed funded by Watertower Ventures and selling front to back operations software to private equity funds, venture capital funds, private debt managers and asset managers, alongside the third party administrators many of them outsource to. The product is built around what the company calls the most advanced general ledger for private capital and alternative assets: a cloud native, event driven, dual sided accounting system handling allocations, portfolio, cash, payables and calculations, an interactive ownership builder for constructing multi entity fund hierarchies by drag and drop with multiple entity types and currencies, investor insights, business intelligence, a data room, and an investor portal delivering documents and performance updates under per contact access controls. Reporting runs from capital call notices through custom analytics on a single data model. The platform is positioned as API first and deliberately open, extendable by end users and developers alike, and it ships a named standard connector to the waterfall calculation engine of qashqade so those calculations run inside the application rather than beside it. The artificial intelligence line has two published parts. The company states the platform is enhanced with agentic capability that proactively assists teams across accounting, reporting, data and workflows, and that its configurable input forms use models to cut the time spent organizing the events and transactions inside complex structures. Separately it has shipped an interoperability protocol server, so a customer can query live platform data from whichever assistant they already use rather than from an assistant the vendor supplies. The investor portal additionally applies behavioral analytics and machine learning to detect attacks and previously unseen exploits, which is a security control rather than part of the accounting product.

FundCount is an integrated accounting, investment analysis and reporting platform used by hedge funds, private equity firms, family offices, fund administrators and asset managers, and bought principally by fund accountants, financial controllers and chief financial officers. Its argument is consolidation: capital accounts, allocations, the general ledger, data feeds, reporting and the investor portal on one platform rather than an accounting tool, an investment tool and a waterfall in a spreadsheet reconciled between them. Partnership accounting, portfolio accounting and a general ledger sit underneath, with investor facing statements generated from the same ledger that runs the fund. Market data and positions are aggregated automatically from named providers including Bloomberg and Refinitiv and from named custodians and brokers including Interactive Brokers, Pershing, Marex and Morgan Stanley, with pre built importers handling source specific formats such as a daily file transfer drop or an equities feed and reconciling them to the books. The AI line has two named pieces. AI Document Intelligence extracts a wide set of data points from capital account statements, capital call and distribution notices, tax schedules and co investment financial statements into a standardized format, using what the company describes as a modern large language model with verification processes, and it argues explicitly that this differs from older machine learning and optical character recognition because it copes with watermarked files, changing statement formats and unstable element positioning in compound documents such as a combined call and distribution notice. Extracted data appears on a dashboard for review by the accounting team or the client in real time, feeds directly into FundCount or another accounting system, and the original document remains one click away from within any report. A second piece, the FundCount AI Assistant, is offered to help teams operate the platform, build reports and turn documents into data. The company publishes a starting annual price for its private equity product, with transformation and hosting charged separately.

BlackRock Aladdin is the technology arm of the world's largest asset manager, and this profile covers the product rather than the parent. Aladdin is described in the company's own securities filings as a proprietary end to end software as a service platform for investment and risk management, sold on a fee basis to a growing number of institutional and retail investors alongside its internal use, with Aladdin Risk for risk reporting, investment accounting capabilities, and Aladdin Provider connecting asset servicers into the platform their asset manager and asset owner clients already run. eFront, acquired in 2019, is the alternatives half, sold both standalone and as part of an integrated whole portfolio view that puts public and private asset classes on one platform, with eFront Insight for due diligence, manager selection and portfolio monitoring, eFront Provider for asset servicers, and Preqin data embedded inside Insight following that acquisition. The inference line is two named and separately branded generative products. Aladdin Copilot is positioned as connective tissue across the platform, answering questions and surfacing information to support business decisions inside the Aladdin environment, built in partnership with Microsoft, with a stated roadmap covering faster user onboarding, report generation, research summarization and proactive alerting. eFront Copilot, launched in 2023 and available inside eFront Insight, applies generative models to private markets investment data and analysis for users from analyst to chief investment officer. The company states that eFront Copilot runs on an Aladdin isolated instance of a named cloud hosted model service over a secured connection, with all personal information filtered out before it reaches the model. The company describes automation, machine learning and natural language processing as long standing parts of the eFront technology stack rather than a recent addition.

Addepar is a New York headquartered data and portfolio intelligence platform for investment professionals, founded in 2009 and serving more than 1,400 firms across nearly 60 countries who manage and advise on close to $9 trillion of assets, of which over 40 percent sits in alternatives. Buyers span registered investment advisers, multi family offices, single family offices, private banks, institutions, asset owners, allocators and fund managers, with named clients including Morgan Stanley, AllianceBernstein and the Geneva multi family office Lobnek Wealth Management. The platform unifies multi custodial data, illiquid alternatives and complex legal entity structures into a single portfolio view, and layers analysis, reporting, financial planning, projection through Navigator, and a trading capability launched in late 2024 that replaced the rebalancing technology acquired with AdvisorPeak. The open platform integrates with roughly 650 software, data and consulting partners. Offices run through New York, Salt Lake City, London, Edinburgh, Geneva, Dubai, Pune and Sao Paulo, with about 250 staff across Europe and the Middle East, against annual research spending stated at over $150 million. The AI line has three shipped parts. Addison, launched in March 2026 and available to firms that opt in, is a native experience embedded in the platform that answers natural language questions about performance drivers, exposures and liquidity, understands portfolio structure, alternatives complexity and firm specific entitlements, and returns outputs the company describes as permission aware and traceable, tied directly to the underlying records. Alts Data Management applies machine learning with human verification to extract and normalize private markets data. Intelligent Statements converts unstructured financial statements into review ready files. The company states that Addison originated in research aimed at building a proprietary large language model trained on its own accumulated historical data, and it acquired the workflow automation startup Arcus in May 2025 and folded that capability in. Announced next steps are proactive insight delivery with market aware context and cited sources, plus agentic workflows across data operations, analytics, forecasting and reporting.

Juniper Square is a San Francisco based fund operations partner to more than 2,300 private markets general partners, combining software with an outsourced fund administration business, valued at $1.1 billion after a $130 million Series D led by Ribbit Capital. Its platform spans more than 45,000 investment entities, 750,000 unique limited partners, 1.25 million positions and $1 trillion in active limited partner capital, with its own administration team overseeing more than $300 billion in assets. The product is GPX, described as a fund operating system, covering fundraising, investor relations and onboarding, fund accounting, general ledgers, payments and treasury, compliance, reporting and the investor portal. The artificial intelligence line is JunieAI, which drives three shipped things. First, an investor relations customer relationship system launched in October 2025 and positioned as the first such product purpose built for private markets fundraising, automating manual work, enriching investor data and surfacing prompts for capital raising teams. Second, Headless GPX, introduced in June 2026, which exposes every platform capability across the full fund stack to any client speaking the Model Context Protocol, naming Claude, Microsoft Copilot and ChatGPT specifically, and carrying the same data, the same permissions and the same audit trail into whichever assistant the firm chooses; it shipped in limited beta as a read interface with write actions and a headless investor portal on the near term roadmap. Third, Fay, an admin oversight agent launched in July 2026 and the first of a planned family of agents, which ingests the deliverables produced by any third party fund administrator or internal accounting team, including financial statements, partner capital account statements and supporting workbooks, and runs more than 150 accuracy and consistency checks against the firm's own entity structure, investor roster and prior period figures, with customers able to add their own checks to the standard library. The company states it cuts financial statement review time by roughly 80 percent and describes the strategy as an agentic shadow accounting stack that gives general partners fiduciary oversight of their administrators. Fay was built first for the company's own administration team before being sold to firms using rival administrators, and requires no integration or data onboarding. Named early adopter work includes the chief financial officer of ApexOne Investment Partners.

Intapp is a Palo Alto based, publicly listed vertical software company selling to private capital, investment banking and advisory, real assets, accounting, consulting and legal firms, trading on the Nasdaq exchange under the ticker INTA and operating as Integration Appliance, Inc. The financial services footprint is broken out in fine detail. Ten private capital sub segments are published separately: private equity, venture capital, private credit and leveraged finance, hedge funds, growth equity, fund of funds, multi strategy, family offices, private wealth and limited partners. Investment banking has placement agents as a named sub market, and real assets split across equity investors, credit investors and lenders, developers and limited partners. The product portfolio spans DealCloud for relationship management, deal pipeline, business development, fundraising and investor relations; a compliance line covering Conflicts, Intake, Terms, Walls and Employee Compliance that handles deal conflicts of interest, code of conduct and code of ethics management, anti money laundering checks, ethical walls and insider list enforcement; Time and Billstream for timekeeping and billing; and Collaboration and Workspaces over Microsoft 365. The AI line is Celeste, described as agentic firm level AI. It is built on configurable playbooks that encode a firm's methods, reusable skills such as searches and calculations, and connectors that let each skill act on live data. A context engine holding the firm's own terminology grounds it, along with curated knowledge hubs that preserve existing access controls. Celeste is deliberately model agnostic: administrators choose between Anthropic Claude models hosted on Amazon Bedrock and OpenAI models hosted on Azure, with automatic failover across providers and availability zones. It surfaces its playbooks outward as governed skills through the Model Context Protocol, carrying the firm's ethical walls and permissions with them. An earlier layer, Applied AI and Intapp Assist for DealCloud, supplies relationship signals, target recommendations, natural language querying of firm data and generated outreach, with third party market data from named providers embedded in the workflow. Named client work includes the private equity firm Paine Schwartz Partners, with $6.5 billion under management, and the advisory firm FMI Capital Advisors. DealCloud has been voted a deal origination award for credit in both United States and European industry awards.

Carta is a San Francisco platform for private capital operations, originally a capitalization table system and now positioned as a vertical resource planning system for private markets, spanning fund administration, fund accounting, tax, compliance, investor reporting and a limited partner portal across roughly 9,000 funds representing more than $203 billion, more than 50,000 capitalization tables and about 125,000 allocators. The generative layer is broad and is being pushed into the transaction path rather than kept beside it. Proprietary agentic components ingest, extract and normalize capital call notices and partners' capital account statements and feed the general ledger directly, turning static documents into a live feed that updates accounting and reporting. Fund administration agents monitor connected systems continuously, including bank feeds, portfolio company data and investor records, and process each signal in the context of the governing partnership agreement so that a contribution triggers the workflow appropriate to that fund structure. A data warehouse answers portfolio, return and exposure questions in natural language. Plugins let a firm drive fund administration, capitalization table management and dealflow analytics from inside general purpose assistants, with more than 1,500 companies and firms using them since April 2026. Three acquisitions built out the line: Accelex became Carta LP Portfolio Analytics, Sirvatus became Carta Loan Operations for private credit, and ListAlpha became Carta CRM, a relationship intelligence product using an agent and open protocol server architecture to query years of historical data for leads and target evaluation. The company states that customer data stays private and internal and is never used to train models.

FactSet is a Norwalk based financial data and analytics platform serving more than 8,200 institutional clients and over 218,000 users across the buy side, the sell side, wealth management, private equity and corporates. Its generative layer is shipped rather than announced. FactSet Mercury is a large language model based knowledge agent giving a single conversational interface over company fundamentals, pricing and regulatory data. Pitch Creator builds pitchbooks for investment bankers, with semantic search across news, earnings call transcripts and regulatory filings, chart generation in more than twenty formats, branded slide assembly, a tombstone generator and a library of prebuilt models, all wired into Microsoft Office so output moves into spreadsheets and presentations directly. Conversational API exposes the same agent for embedding inside a client's own technology stack, and GenAI Data Packages consolidate the feeds needed to power a client's own workflows. Cobalt AI Doc Ingest handles document extraction for general partner monitoring. The enterprise generative platform runs on a named data infrastructure partner with models customized per task. The company publishes a detailed governance and security policy for the generative layer covering architecture, data sources, retention, isolation and model hosting, and every generated response carries in context source linking back to the underlying data for verification and lineage.

Windsor, Connecticut. Nasdaq listed financial technology and outsourcing group, described in its own automation materials as a $25 billion enterprise, whose core businesses are fund administration, transfer agency, portfolio accounting and asset and wealth management software, alongside insurance and healthcare administration. Its automation and AI arm is SS&C Blue Prism, acquired in 2022 and founded in 2001, which sells agentic automation into banking, insurance, asset management and more than 70 other industries. The current platform is WorkHQ, an agentic workflow platform evolved from the intelligent automation product, working alongside Chorus for orchestration with human in the loop steps and the SS&C AI Gateway, an enterprise AI governance platform providing a secure generative AI gateway, audit trails, guardrails, business rules, role based access control, real time risk notifications and private language model chat. On top of these sit SS&C Agent Solutions, custom and templated agents including a Credit Agreement Processing agent with built in governance, accuracy evaluators and downstream system integration for straight through processing. The company positions itself as its own first customer, stating that every agent is developed, tested and deployed inside SS&C operations before release, with more than 3,571 active agents, over $200 million of savings and around 7 billion tokens a month. Named users include State Street, Invesco, Banorte, ABANCA, Banco Supervielle and Spain's Ministry of Justice. Recognized as a leader in the Gartner Magic Quadrant for robotic process automation in 2025 and in Everest Group's PEAK Matrix for intelligent process automation platforms.

Paris headquartered, Euronext Paris listed asset management and credit technology group founded in 1998 by Anvaraly Jiva, with roughly 1,300 staff in 20 offices serving over 700 clients across 50 countries and 2023 revenue of about 228 million euros. Three buyer groups, each with its own product line: asset managers (portfolio management, order management and trading, investment compliance, risk, fund accounting, transfer agency), asset servicers (fund administration, net asset value oversight, cash monitoring, workflow), and lenders and lessors (automotive finance, commercial lending through Capitalstream, consumer finance, equipment and asset finance through Ekip360, syndicated lending). Alongside the software sit outsourced middle and back office services, business process outsourcing for lenders, and a cybersecurity service for investment firms. Its AI position was assembled by acquisition rather than built: DreamQuark, a French AI engine developer founded in 2014 whose next best action decision models served banking, insurance and wealth advisors and whose earlier customers included NatWest, was bought in April 2024; nRoad, a Boston and Pune specialist in automated unstructured financial data processing, was bought in April 2025 along with its agent technology and CONVUS platform. Those capabilities feed three named AI lines: operational risk intelligence, unstructured data processing, and generative AI for fund managers. The flagship is the Cognitive Investment Data Management Service for private capital, which pairs AI extraction of credit agreements, performance reports and deal room documents with review by Linedata analysts and is sold with a stated 100 percent accuracy service level agreement. Lending carries its own modules, a Digital Assistant suggesting next actions from prior user behavior and a Sales Advisor, both live at clients including the Moroccan credit firm SOFAC.

London headquartered trading, treasury and analytics group founded in 1999 by Andrea Pignataro and built through sustained acquisition, including Fidessa, Openlink, Wall Street Systems, Dealogic, Acuris, Allegro, Backstop and Dash Financial. The Financial Times has compared its position to Bloomberg's while noting how little it publishes about itself. Six divisions: Markets (equities through Fidessa, fixed income, cleared derivatives, foreign exchange, secured funding, asset management), Analytics (Dealogic, Mergermarket, Debtwire, Infralogic, Backstop, Blackpeak), Core Banking (core systems, RegTech and business process outsourcing for banks), Treasury, Commodities and Credit Information. Stated buyers are financial institutions, central banks, governments and corporates, and the treasury division names financial institutions and central banks as separate segments beside the office of the CFO. The shipped machine learning sits in ION Treasury and is rolled out horizontally across the whole treasury portfolio, covering cash flow forecasting from historical data, real time detection of suspicious payment transactions learned from a treasury department's normal behavior, and automated bank reconciliation matching. ION announced the cash forecasting product in February 2020 as the first machine learning powered treasury management solution, and a dedicated internal team develops the technology for integration into each treasury system. Fidessa carries over 20 algorithmic execution strategies and was registered as an independent software vendor with BSE for equity derivatives in 2026.

Paris headquartered capital markets technology firm, founded 1986, whose MX.3 platform covers cross asset trading, risk management and post trade processing for roughly 300 client institutions and 60,000 daily users across 60 countries. Clients span banks, clearing houses, investment managers, energy and commodities firms, corporates and public agencies. MX.3 powers a swap clearing platform carrying about 90 percent of OTC vanilla swap volume, processes over 35 million FX cash trades a day front to back, and covers market and credit risk, Basel capital, FRTB and XVA. Its machine learning does not apply models to a judgment task. Murex trains neural networks to replicate its own mathematically tractable derivative pricing models at high fidelity, so that valuations that would otherwise require hundreds of millions of Monte Carlo evaluations can be produced by fast inference. Training is performed on Murex infrastructure and the resulting models are distributed to clients, where execution is limited to inference. Risk.net reported in March 2026 that neural network techniques had been embedded into the pricing stack over the preceding year. A separate initiative, Murex AI Research, launched in July 2026 under program director Ludan Stoeckle with academic partners including Universite Paris Dauphine and University of Lorraine, and is explicitly framed as long term exploration rather than shipped capability. Delivery runs from on premise license through vendor managed MXSaaS, upgrade as a service and a BPaaS managed offering. A separate digital asset line covers tokenized deposits and digital bond settlement through an integration with Quant Network.

Broadridge Financial Solutions is a New York headquartered financial technology group listed on the New York Stock Exchange and a constituent of the S&P 500, with more than fourteen thousand staff across twenty one countries. Its technology and operations platforms process and generate over seven billion investor communications a year and underpin daily average trading of more than $10 trillion of tokenized and traditional securities globally, spanning capital markets post trade processing, wealth management platforms, investor communications and governance, and a distributed ledger repo platform that processed $7.2 trillion in a single month during 2026. It also runs a managed services and business process outsourcing operation that runs clients' operations end to end. In May 2026 the company announced that its agentic capabilities, described as software that autonomously analyses, prioritizes and resolves operational exceptions without constant human instruction, were live in production across capital markets and wealth management workflows, having been refined through live deployments inside its own outsourcing operation across more than forty clients since 2024. They are offered either as a full managed service or as a standalone deployment of the agentic platform into a firm's own infrastructure, with up to thirty percent first day operational cost reduction claimed, and rest on what the company describes as a completed financial services data ontology. Its corporate bond trading venue, LTX, carries BondGPT, a generative application answering bond questions from curated data and analytical models, which gained agentic capabilities in June 2026 allowing traders to create agents that monitor market conditions and take defined workflow actions including generating alerts, creating trade tickets, selecting dealers, launching requests for quote and accepting prices to execute automatically. Published guardrails on those agents are human in the loop approvals, policy driven limits on trade size and scope, explainability before every action and full auditability of every action. LTX reports more than forty liquidity providers and over one hundred buy side institutions, with Goldman Sachs, J.P. Morgan and TD Securities named among participants, and operates through Broadridge Business Process Outsourcing as its broker dealer. Other named artificial intelligence moves include a strategic investment in DeepSee to embed agentic capability into post trade operations and an extended infrastructure agreement with Kyndryl.

Evalueserve is a global research, analytics and operations firm founded in 2000 and headquartered in Zurich, delivering knowledge work to clients across several industries from delivery centers in India and elsewhere. Financial services is a separately addressed vertical with its own lines covering corporate and commercial banking, investment banking advisory, investment management and research, lending services, and risk and quantitative work. Beyond analyst time, it also ships named, subscribable products. Spreadsmart automates financial spreading for commercial lenders, converting borrower disclosures into structured credit inputs, and was highly commended as a lending technology provider at the 2024 Banking Tech Awards while the firm won best technology provider at Credit Strategy's 2024 Lending Awards. Insightsfirst is a market and competitive intelligence platform combining generative models, machine learning and configurable dashboards with subscription based personalization and user level access control, and it also underpins early warning work that collects and vets large volumes of data to identify borrowers exposed to emerging financial or external risk. A distinguishing feature is Ask an Analyst, which routes a user query from the platform to the firm's own analysts for additional insight or a new study, making the human layer an explicit product component rather than a delivery detail. Peel Hunt is a named client, and its head of research publications is quoted publicly describing an equity research distribution deployment. Independent recognition includes leader placement in Forrester's 2024 wave for market and competitive intelligence platforms, category leadership in Chartis Research's 2024 credit lending operations report, inclusion in the Chartis QuantTech50, and a leader position in an analyst quadrant for generative AI service providers.

Crisil is a Mumbai headquartered analytics group founded in 1987 as India's first credit rating agency, now majority owned by S&P Global. Its ratings arm is registered with the Securities and Exchange Board of India, and its solutions business, rebranded from Crisil Global Research and Risk Solutions to Crisil Integral IQ, sells research, risk, lending, analytics and operations capability to global financial institutions alongside a set of licensed software platforms. The flagship is Credit+, covering the corporate credit lifecycle from initiation and financial spreading through credit risk rating, portfolio monitoring, early warning signals and covenant tracking, with the early warning module reported as implemented at more than ten banks and built on rule based flags and multi dimensional trigger libraries. Adjacent platforms include a Capital Assessment Module for automating credit assessment reporting and risk calculation, Model Infinity as a cloud ready platform for model inventory, workflow and governance, and a Scenario Expansion Manager for defining and analyzing regulatory and internal stress testing scenarios. Generative capability was launched in 2025 as Crisil GenEye Credit and Crisil DeepMine, alongside generative services embedded into trading, finance, risk and credit workflows. The company publishes measured performance for its own automation, stating 95 percent data extraction accuracy for financial spreading with efficiency gains of 30 to 50 percent, and generative coverage of 60 to 70 percent of credit report sections yielding more than 30 percent efficiency. Model validation is a distinct and long standing business line, with more than 25,000 models validated for clients since 2015. Chartis named the company a category leader in model validation for a fourth consecutive year, assessing its generative capabilities across model development, validation, governance, inventory management and risk control, and placed it in the RiskTech100 for a third consecutive year.

Allvue Systems sells the operating software behind private equity firms, private credit and CLO managers, fund administrators and banks. Back office teams use it for fund accounting, investment accounting and investor reporting. Credit teams use its front office for portfolio management, trading and compliance. FirmView, which came with the purchase of PFA Solutions, handles carried interest and compensation. Allvue reports more than $8.5T in assets, 21,000 funds and 500 clients on the platform. AI now works inside several of these jobs. Andi answers product questions inside the accounting and credit screens. In Portfolio Intelligence, a module on the new OneVue workspace, it drafts borrower snapshots and quarterly commentary. Document IQ reads credit agreements, borrower financials and loan notices, then posts the figures with a link back to the source text. Fields with low confidence go to a person, and each firm sets how much posts without review. Intelligent Loan Operations, launched in August 2026, carries a loan notice from the inbox to the general ledger. A capital call workflow drafts allocations and investor notices for approval, and RSM US offers it through RSM Fund Services+. Allvue's public subprocessor list names OpenAI, Anthropic, Microsoft and Amazon Web Services as generative AI providers. Allvue says client data never trains those models. The platform runs on Microsoft Azure. SOC 1 Type II and SOC 2 Type II reports sit in a trust center behind an access request. BC Partners uses Document IQ for financial spreading, and Polaris and Inventure are among its longer standing clients. No price is published. Allvue formed in 2019 when Vista Equity Partners bought AltaReturn and merged it with Black Mountain Systems. It is based in Miami.

Opensee is a Paris headquartered financial data management and analytics platform built by capital markets practitioners, founded in 2015 and previously known as ICA. It sells banks, asset managers and hedge funds a real time self service layer that sits on top of existing infrastructure rather than replacing it, holding market, credit and liquidity data together at full granularity with history, and supporting aggregation, calculation and simulation across very large datasets. Use cases span market risk, credit risk, liquidity and asset liability management, trade analytics, collateral management, profit and loss and performance, a market data store, and environmental and climate risk. The platform runs on any cloud, on premise or hybrid cluster, offers native Python integration for customers to build their own models on the same data as end users, and is available for deployment through a customer's existing Amazon Web Services account. The company positions itself as AI first and its own description pairs high performance computing with artificial intelligence. Its named AI line is Agensee, an agentic capability described as spanning the entire data journey by automatically building data models, calculators and dashboards and monitoring data quality, alongside a generative data assistant that answers questions in natural language and generates reports, AI powered data quality assistants, and automated explainability. A semantic layer is described as turning raw financial data into business ready information that is auditable and verifiable. Crédit Agricole CIB is a named client, with the bank on record describing the platform as a change in the speed, efficiency and governance of risk management for its market activities, and the hedge fund Taula Capital is named as a deployment. The company has been recognized repeatedly by industry evaluators, including as a category leader in the Chartis RiskTech Quadrant for market risk risk data aggregation and in the Risk Markets Technology Awards 2026.

Prometeia is an Italian consulting, software and economic research group founded in Bologna in 1974 by a group of university economists, now employing over a thousand professionals and serving more than four hundred customers across twenty countries, including banks, insurers, institutional investors, corporates and public institutions. It operates from Bologna, Milan and Rome with international offices in London, Frankfurt, Zurich, Vienna, Istanbul and Cairo. Its flagship platform, the ERMAS suite, supports enterprise risk management for chief risk officer, chief financial officer and treasury functions, covering asset and liability management, interest rate risk in the banking book, liquidity risk, balance sheet simulation, future portfolio evaluation and regulatory calculation, and is used by more than two hundred institutions. A separate wealth and asset management line serves advisory and private banking. Most of that estate is quantitative and econometric rather than learned, and the artificial intelligence work sits beside it as a distinct and growing practice. It includes the Prometeia Model Journey, an environment in which behavioral and machine learning models can be built, validated and deployed inside a governance framework, with the option to customize the firm's quantitative libraries or write internal methodologies in Python; a published model validation framework for AI based models organized around data, methodology, process and governance and mapped to conceptual soundness, model performance and model usage; a generative tool that automates assessment of a bank's credit risk models by ingesting regulatory and internal documentation and comparing methodological frameworks, risk parameters and judgmental decisions against applicable guidelines, with a chatbot for deeper inquiry; synthetic transaction generation at individual account level for fraud detection, stress testing and customer analytics; and TULIP, a large language model built on open source frameworks and trained on external and synthetic financial data for Turkish language financial services, deployable on the bank's own premises. The group also contains Prometeia Advisor SIM, an authorized Italian investment firm providing financial advisory. Independent recognition includes a Risk.net award for bank asset and liability management system of the year and repeated inclusion in an annual global wealth technology hundred list.

Oxane Partners is a London headquartered technology and services provider to the private credit markets, founded in 2014 by former structured credit professionals from Deutsche Bank and operating from London, New York, Gurgaon and Hyderabad. Its platform, Oxane Panorama, covers portfolio and risk management, credit facility management, analytics, independent valuations, facility administration, loan and agency services and reporting across what the firm calls the private credit plus universe, spanning direct lending, asset based finance, securitised products, commercial real estate, fund finance and infrastructure debt. The company reports more than one hundred clients and over $1.5 trillion of aggregate client assets under management running on the platform, and describes its customer base as including twenty three of the thirty largest global investment banks, thirteen of the thirty largest private debt firms and ten of the thirty largest institutional asset managers, alongside pension funds and sovereign wealth funds. Delivery follows what the firm calls a platform and people model, pairing the software with staffed teams of private credit specialists, with headcount reported at more than eight hundred and fifty. The machine learning layer addresses the problem the firm identifies as central to the asset class, that the information needed to monitor a private credit investment sits in credit agreements, borrower reports, spreadsheets and email rather than in standardized data feeds. It performs document intake and classification, extraction and validation of terms from legal documents and facility agreements, financial spreading, covenant and term extraction, normalization of structured and unstructured sources, detection of covenant drift and performance deterioration, portfolio querying, and generative drafting of memos, commentary and reports. A strategic growth investment was announced in 2026 and was expected to close in the third quarter of that year.

Needl.ai is a private enterprise AI platform for financial markets, founded in 2019 by Vikram Srinivasan and Kuntal Shah, with engineering in Bengaluru, India and a US entity, Needl Inc., registered in San Francisco. It positions itself as a context layer rather than a model builder, running inside a customer's own environment and answering questions from that firm's own material: email, drives, wikis, virtual data rooms, CRM records, subscribed research and internal notes, alongside filings, news and roughly 20,000 monitored external sources. Four product capabilities are sold: knowledge management with cited answers, report automation covering filing summaries and credit memos, market intelligence with ranked and routed alerts, and a causal intelligence layer that models the drivers behind market moves rather than scoring them. Eight named workflows sit on top, among them automated due diligence with a cited investment committee memo, credit rating report generation, compliance event monitoring across regulators, a relationship manager copilot checked against mandate and suitability, financial modeling populated from filings, analyst note generation, real time trading intelligence and portfolio monitoring. Buyers span private equity and private credit, asset management, banking and capital markets, wealth management and private banking, and credit rating agencies. Named customers include GrayArch Partners, Scotia Wealth Management, Oaklane Capital Management and MSquared, with unnamed deployments described at a large consultancy, a major ratings agency, a credit agency running $750 million of assets and a trading desk running $10 billion. The company reports roughly 45 staff and holds seven patents on its retrieval and reasoning engine. Its disclosure is detailed for a firm of its size. It names five foundation model families as interchangeable commodity infrastructure and supports customers bringing their own model. It names eleven source systems it connects to and enumerates ISO 27001, SOC 2 Type II and CASA with a Google CASA assessment. It states that it never trains shared models on customer data, and it cites a placement on the S and P AI Benchmarks Long-document QA leaderboard run by Kensho. Set against that, its marketing carries a headline claim of no hallucination and accuracy figures quoted as high as 100 percent and above, which is not a figure that can exist.

Terminal X, built by Project Pluto Inc, is an agentic research platform for institutional investors, founded in New York in August 2022 by chief executive Hyun Hong, who spent a decade in mergers and acquisitions, private equity and portfolio management, and chief technology officer Kibum Kim, previously more than ten years at Google as a tech lead across Chrome, Search and the TensorFlow team. Its argument is that general purpose assistants fail investment work because they know nothing about a firm's own thesis, risk limits, investment committee preferences, trusted data vendors or memo conventions. The platform therefore indexes a firm's proprietary material alongside public sources, parsing Excel models at cell level, emails, past deal memos and subscribed research into sentence level retrieval, and combining that with more than a hundred million external sources including filings, earnings transcripts, investor presentations, financial supplements, broker research and news. It supports memo writing, due diligence, thesis validation and portfolio monitoring, and separately publishes data interfaces for market intelligence and event narratives. Its architecture is deliberately model agnostic: a query is decomposed into hundreds of discrete micro steps, each evaluated in milliseconds for the nature of the task, the reasoning required and the quality against latency tradeoff, then routed to whichever frontier model is performing best for that input across the GPT, Claude and Gemini families, with new models added as they launch and prompts hand tuned by former bankers and hedge fund managers. Buyers span hedge funds, private equity and buyout funds, asset managers, family offices, venture firms, sovereign wealth funds, pension funds, securities firms and corporate finance teams across the United States, Japan and Korea. It raised a Series A including DG Daiwa Ventures, the joint venture between Digital Garage and Daiwa Securities Group.

Hudson Labs, founded in 2019 in Toronto and formerly called Bedrock AI, builds finance specific language models for institutional equity research. Its founders are Kris Bennatti, a chartered accountant and financial data scientist published by the Harvard Law School Forum on Corporate Governance, and Suhas Pai, who wrote a book on designing large language model applications. The original product was systematic forensic risk analysis, reading the unstructured text of regulatory filings to surface accounting and governance concerns that standard screens miss, and in September 2025 the company launched the Co-Analyst, a research platform producing source verified summaries, guidance identification, multi document comparison and auto generated investment memos. The company frames its pitch against general purpose assistants, arguing they fail precisely where institutional investors need reliability most, on multi document analysis, guidance identification and numeric precision, and describes its own approach as proprietary retrieval, custom models, source selection, noise suppression and in house pipelines. It states the launch followed beta testing with hedge funds, asset managers and family offices representing over $1 trillion of assets under management, with early results showing research time cut by more than half, and it serves asset managers, insurers and securities law firms. A high yield bond analyzer is in development. Investors include Y Combinator, FoundersX Ventures, Born Capital, Zillionize, Brighter Capital and Immad Akhund, and named partners include Wolfpack Research and Enhancing Capital.

Quartr structures the first party material public companies publish about themselves, live earnings calls, real time transcripts, conference and capital markets day audio, filings and slide presentations, and sells it in two forms: Quartr Pro, a research platform where investment professionals query across company materials with every answer linked back to the original source, and Quartr API, a data feed that other research platforms and artificial intelligence systems build on. Coverage runs to more than 13,000 public companies across over 65 markets, with a single interface carrying consistent identifiers across audio, transcripts, filings and slides, and entity structuring across companies, events, people, products, topics and reported metrics linked over time. The company describes itself as infrastructure for company research rather than as an analysis product, and its stated argument is that investor relations material was the primary input to qualitative research and had never been made queryable at scale. Headquartered in Stockholm with offices in New York and Dublin and led by co founder and chief executive Oscar Kuntzel, it states that more than 700 financial institutions and technology companies use its products, including hedge funds, asset managers, equity researchers and investor relations teams, and it also runs a free consumer mobile app carrying the same event material. It reports triple digit growth and net revenue retention of roughly 120 percent. Funding has come in successive rounds from Altos Ventures, which led an $18 million round in 2026 and is now the largest shareholder, alongside the Nordic bank SEB, Ohman and Yanno Capital.

AlphaSense is a market intelligence and AI research platform used by investment banks, hedge funds, private equity firms, asset managers, consultancies and corporate strategy teams. It combines licensed content, including broker research, filings, event transcripts and more than 300,000 Tegus expert call transcripts, with a firm's own documents, and runs generative search, Deep Research and workflow agents across it. SuperAnalyst, launched in October 2026, is an agent that plans research and produces memos, models and decks with every figure tied to a source. Founded in 2011 by Jack Kokko and based in New York, AlphaSense says about 8,000 organizations use it, and its annual recurring revenue passed $600 million in early 2026. It raised $350 million at a $7.5 billion valuation in June 2026. Its trust center carries SOC 2 Type 2 and ISO/IEC 27001:2022 reports, and it says no model is trained on customer content.

ICE Mortgage Technology is the United States mortgage division of Intercontinental Exchange, assembled from Ellie Mae, Simplifile, Mortgage Electronic Registration Systems (MERS) and the $11.7 billion acquisition of Black Knight in September 2023, and reporting roughly $2 billion of revenue in 2024. It spans the whole loan lifecycle: Encompass for origination, MSP for servicing, Optimal Blue for product pricing and eligibility, Simplifile for recording and settlement, the McDash performance database, property records covering more than 160 million historical entries, and the Rapid Analytics Platform, a cloud analytics environment supporting Python, R, SQL and Scala with prebuilt dashboards. Much of the company's recent work has been connecting origination and servicing so a file produced in Encompass moves into MSP without rework. At its March 2026 user conference it unveiled artificial intelligence voice and chat agents for mortgage servicing, which are still being tested, and it has published a training data disclosure for the pilot chatbot and interactive voice assistant describing internally created test data with no personal information. The customer service voice agent is integrated with MSP, answers homeowner questions on escrow, private mortgage insurance and servicing transfers, assists with making payments and managing autopay enrollment, handles many interactions simultaneously and transfers complex cases to a human representative with the loan details and context attached. A chat agent embedded in the homeowner servicing portal retrieves documents, explains loan details and helps borrowers explore rate and term and cash out refinance options. Alongside them the company released more than a dozen exception based servicing automation agents built in its business intelligence platform. ICE Aurora embeds these agents in origination and servicing workflows, and in servicing, cash movement, escrow disbursement and investor remittance remain actions a person authorizes. It runs a standing trust portal publishing dated SOC reports for individual product lines with bridge letters, and maintains separate published privacy policies for its constituent businesses.

Polly runs a mortgage capital markets platform for United States banks, credit unions and mortgage lenders, built around a cloud native product, pricing and eligibility engine, alongside a loan trading exchange, a lender analytics product and a partner platform. The pricing engine carries loan products from hundreds of investors across conforming, government, construction, housing finance authority, non conforming, non qualified mortgage and portfolio categories, automates lock desk workflows including locks, extensions, relocks, repricing, price exceptions and float downs, and maps standard and custom fields into a lender's loan origination system through its interfaces. Polly AI, launched in May 2024, sits on top of that engine. Its first application is a loan officer agent reachable by instant message or voice on web and mobile that examines near miss eligibility and near miss pricing, interprets the mathematical and logic based statements explaining why a loan is ineligible, and returns specific suggested actions, so an officer can find the closest qualifying product rather than simply learning that the loan does not fit. The company reports that more than 1,250 employees at New American Funding actively use the platform and that it has provided clarity on over 7,200 ineligible products there, and that ResiCentral tripled year on year volume in 2024 without adding secondary, capital markets or lock desk staff. American Financial Resources adopted the pricing engine in 2025. Founded in 2019 and headquartered in San Francisco, Polly raised a $37 million Series B in 2022 and a further $25 million in 2024, and employs a dedicated team of AI engineers. It publishes no security certification, no model documentation and no pricing.

MCT, Mortgage Capital Trading, is a San Diego secondary marketing platform for United States mortgage lenders and investors, in business for over two decades. Its products are MCTlive for pipeline hedging and best execution loan sales, MSRlive for mortgage servicing rights valuation, and a marketplace for mortgage related assets connecting lenders with investors and counterparties. Its buyers are depositories, independent mortgage bankers and investors. MSRlive runs MCT's own proprietary prepayment model and, since October 2024, also offers Andrew Davidson and Company's LoanDynamics Model alongside it, so a servicing rights manager can run both and compare, which the company frames as raising confidence in valuations and scenario testing. The artificial intelligence line is Atlas, a generative advisor launched in February 2025 and developed through a publicly dated sequence of capabilities: in May 2025 it produced what the company describes as the first hedge recommendation made on a live mortgage pipeline, reviewed and executed by the client, and by 2026 a trade execution agent was completing competitive to be announced trades on a live pipeline for a named client, Pike Creek Mortgage Services. Atlas is described as running in an isolated cloud environment using retrieval augmented generation, function calling and limited context inputs, trained exclusively on MCT's own proprietary educational materials rather than on client data, with strict internal access controls, client configurable trade parameters bounding what it may execute, and an opt in that defines the limited client data each new capability requires. The company hired a director of artificial intelligence solutions to extend agentic workflows and received a HousingWire Tech100 award in 2026 for AI powered capital markets innovation.

RiskSpan runs the Edge Platform, a cloud native system combining loan level data, predictive models and analytics for residential whole loans, mortgage servicing rights, agency mortgage backed securities, private credit and other structured finance assets. It states its clients manage over $30 trillion in assets and more than 45 million active mortgage loans. The platform covers market and credit risk analytics, scenario libraries, stress testing and value at risk across more than 70 asset classes. Alongside them sit loan level data ingestion and validation, Snowflake integration, and model development and model risk governance services. Its own quantitative models are the differentiator. The non qualified mortgage version of its prepayment model uses a two component framework that separates a unified turnover model from a refinance model segmented by documentation type. Its credit model is built on a delinquency transition matrix that projects monthly delinquency migration across the life of a loan and its servicing rights. The AI line is more recent and narrower than the modeling franchise. CascAIde, introduced in 2024, applies AI driven data extraction and a rules engine to portfolio risk management, and the company states it has built production systems that process billions of performance records for tens of millions of mortgages. The company is open about how its models perform. It holds public monthly Models and Markets calls in which its quantitative team walks through how the models tracked against actual prepayment and credit behavior. It publishes versioned model update notes describing methodology changes and gives clients interactive diagnostics for back testing, while separately selling model validation and model risk governance as a service. Headquartered in Arlington, Virginia, it is available through a public cloud marketplace as either on demand analytics or a managed service, and was named a HousingWire Tech100 winner in 2025.

Chaos Labs builds automated risk management infrastructure for on chain lending and derivatives markets. Its Edge Risk Oracles compute and push parameter changes in real time, adjusting interest rates, loan to value ratios and liquidation thresholds in response to volatility and liquidity conditions, securing more than $2.1 billion across 88 markets on an oracle network the firm states has processed over $70 billion in transactions. The design is deliberately bounded: automated adjustments may only move within limits approved in advance through protocol governance, and the system includes a kill switch able to pause a market and block new deposits and loans during a disruption such as a stablecoin depeg. The firm reports cutting the time to change a risk parameter from roughly 96 hours of multi team governance and multisignature coordination to under a minute. It is building the complete risk architecture for Horizon, an institutional platform developed with Aave Labs for tokenized money market funds and United States Treasuries, work that has to accommodate daily and weekly net asset value cycles, overnight and weekend market closures and custodial coordination on liquidations. Chaos AI is a multi agent research system built on Langchain and trained on four years of public and proprietary data, and Chaos Vaults extends the firm into curated yield for institutions. Founded in 2021 in New York by chief executive Omer Goldberg and Julian Lindinger, it has raised $75 million from investors including Galaxy, Haun Ventures and PayPal Ventures.

Gauntlet is a quantitative risk and allocation firm that runs agent based simulation across on chain lending and yield markets, using the output to size positions, set risk parameters and rebalance capital continuously. It began in 2018 modeling risk parameters for lending protocols including Aave, Compound and Maker, then moved from advisory into direct execution as a vault curator, and now curates more than $1.5 billion of supplied assets across more than thirty vaults on Ethereum, Base and Polygon while monitoring a further $35 billion for partners. Its published methodology caps allocation size to what simulations indicate a market can absorb, runs continuous liquidity checks so that liquidations can clear without disrupting the market, and manages utilization ceilings to limit leverage, with strategies separated into stated risk tiers. Aera is its white label vault infrastructure, letting institutions run their own yield offerings on the same risk engine, and the Gauntlet App gives allocators live performance and risk metrics alongside an A plus to D risk rating for each curated vault. It integrates with more than 150 fintechs and institutions, powering the earn program of the stablecoin neobank KAST for 500,000 users and yield built directly into the Uniswap app and wallet. Founded by chief executive Tarun Chitra, it raised $125 million in July 2026 from the listed Japanese financial group SBI Holdings as sole investor, following a Series B at a $1 billion valuation led by Ribbit Capital.

Credora rates the risk in DeFi lending. Owned by the oracle network RedStone since September 2025 and sold as Credora by RedStone, it grades vaults, lending markets and crypto assets on an A plus to D scale. Assets get a probability of default. Vaults and markets get a probability of significant loss, the yearly chance of losing 1% or more of principal. The scale is calibrated to S&P, Moody's and Fitch default rates from 1990 to 2023, and Credora states that it runs 100,000 Monte Carlo simulations per market. Ratings are live on Morpho, Spark and Lista, and reach users through an app, a GraphQL API and on chain publication. Some ratings are commissioned. Credora began in 2019 as X-Margin and raised $14 million from backers including Coinbase Ventures and S&P Global before the acquisition.

Particula is a digital asset ratings and risk intelligence firm covering tokenized real world assets, stablecoins and digital securities through its published Particula Digital Asset Risk Framework, which applies structured finance principles across legal, operational and technological dimensions. Its monitoring platform evaluates more than ninety smart contract metrics alongside validator distribution, wallet concentration and market liquidity, refreshing on chain inputs in near real time while off chain and issuer supplied data trigger event based updates, with a formal analyst review at least quarterly. Ratings are published as full reports carrying rationale and supporting data, and named assignments include a triple A on the Janus Henderson Anemoy collateralised loan obligation fund token and an upgrade of a Delta Wellington ultra short treasury fund token. In March 2026 it launched the Digital Asset Risk Passport, encoding its ratings as on chain objects that protocols can query and enforce automatically. Allfunds Blockchain named it risk assessment partner for tokenized fund distribution on Solana, the on chain allocator infiniFi mandated it to run its underwriting risk infrastructure, and it has collaborated publicly with Moody's Ratings on operational risk assessment approaches for digital finance. Founded in Munich in December 2022 by chief executive Timm Reinsdorf and chief technology officer Carsten Hermann, it raised $5.5 million in April 2025 and announced a relocation of its headquarters to the United States.

SitusAMC provides outsourcing, advisory, talent and technology to the real estate finance industry across both commercial and residential lending, serving banks, alternative lenders, commercial mortgage securitisation issuers, insurance companies, government agencies, servicers and aggregators. It describes itself as the largest provider of rating agency approved residential loan level due diligence, completing roughly 870,000 review scopes across roughly 460,000 loans in 2025, and supports underwriting, valuation, servicing, asset management and secondary market execution. More than 650 technologists build a portfolio of named systems, including Acuity, a machine learned optical character recognition platform that classifies documents and extracts data from loan files, inventories seller loan documentation and compares it against tape data; Clarity, an automated loan level compliance system used by lenders and by state and federal regulators; plus loan pricing and delivery software, a warehouse lending system of record, a document custody system, conduit pipeline management and a system of record for loan asset accounting.

FE fundinfo is a London headquartered investment data and technology group serving asset managers, financial advisers, institutional wealth managers, private banks and platforms across the United Kingdom, Europe and Asia Pacific. Its estate spans fund data mastering and dissemination, regulatory document and template production covering the packaged retail investment, undertakings for collective investment, sustainability disclosure and United Kingdom consumer composite investment regimes, fund research through FE Analytics, cashflow and financial planning through FE CashCalc, pension switching and platform due diligence, managed portfolio data, and the Trustnet investor site, alongside group brands including Dericon in Germany and Chant West and Zenith in Australia. Its artificial intelligence line is Nexus AI, launched in October 2025 and built on technology from the acquisition of Lunar AI, described by the company as an enablement layer inside the existing Nexus platform rather than a separate product. For advisers it provides a meeting agent that joins and transcribes client meetings, smart data capture that extracts client details and prompts the adviser to review changes before writing them into a CashCalc fact find, template driven reporting that turns transcripts into client recaps and next step documents, a conversational interface, and search across the group's datasets. For asset managers it provides Document Inspector, which checks documentation automatically against more than six hundred United Kingdom consumer composite investment rules ahead of the regulator's 2027 deadline, plus risk notifications and an onboarding assistant. The company states that no client data is used to train third party or public models and that processing takes place within its own infrastructure. The group includes an authorized investment firm subsidiary that publishes prudential and order execution disclosures.

FNZ runs an end to end wealth management platform for banks, wealth managers, insurers and asset managers, combining technology with investment operations inside regulated firms of its own. Clients use it for advice, onboarding, portfolio management, custody, trading and reporting, and FNZ says it carries over US$2.5 trillion in assets for nearly 30 million people. Santander, Vanguard, Aviva and Colonial First State are among the named clients. Its AI sits in a data platform and an adviser suite. The Aggregated Data Warehouse combines anonymized data from all clients and underpins FNZ's AI powered productivity suite, which includes Advice AI for personalized client interaction. A five year partnership with Microsoft, announced on July 28, 2025, puts Azure AI Foundry and Azure OpenAI models at the center of the platform and Microsoft Fabric under its analytics. FNZ's investors include La Caisse, Generation Investment Management, the Canada Pension Plan Investment Board, Motive Partners and Temasek.

Objectway is a Milan headquartered wealth, banking and asset management software provider founded in 1990 by Luigi Marciano, serving more than 200 wealth managers, banks, asset managers, fund managers, insurers and outsourcers across more than 15 countries. It reports over 800 professionals working from Italy, the United Kingdom, Belgium, Germany, Switzerland and Ireland, support for roughly 100,000 investment professionals managing more than one trillion pounds in assets, and consolidated revenue above 100 million euros. The Objectway Platform runs front to back office in one component based architecture with open interfaces, delivered as software as a service or as fully outsourced business process operations, including from its own private cloud data centers. Its model layer is embedded in the advisory process rather than sold as a separate product, with named engines including an intelligent optimizer that generates a suitable and appropriate investment proposal in one step against a client's knowledge, experience, horizon, objectives and constraints, alongside automated recommendations and next best action across the offering. The private equity firm Cinven has invested in the company, and in July 2026 Objectway entered exclusive negotiations to acquire the French capital markets software specialist SLIB from BNP Paribas and Natixis, with completion expected by the end of 2026. Named clients include novobanco, Credem, KBC Securities Services and Kinsted Wealth.

Avaloq sells a front to back banking platform to private banks, wealth managers, investment managers, and retail and digital banks. One system runs client management, portfolio and investment management, trading, payments, lending and digital channels, delivered as cloud software as a service or installed on premises. More than 170 clients in 35 countries run on it, with USD 5.1 trillion of assets on Avaloq software. Avaloq also runs the back office for clients through its Banking Operations service, from six service centers in four countries, and that is where its main shipped AI sits: a corporate actions agent that reads SWIFT messages and long prospectuses, turns them into structured data for the core system and helps prepare client notifications in several languages. A prebuilt integration with Aladdin Wealth by BlackRock and an ecosystem of more than 200 vetted fintechs extend the platform. Founded in Zurich in 1985 as BZ Informatik, an IT subsidiary of BZ Bank, Avaloq has been part of Japan's NEC Group since 2020 and is led by group chief executive Martin Greweldinger. Clients include LGT, RBC Wealth Management, BT Panorama and Emirates Investment Bank.

Corlytics sells regulatory risk intelligence and policy compliance software to financial institutions and to regulators themselves. Natural language processing classifies regulatory text across client defined business lines, categories and themes with relevancy scoring; a large language model summarizes legal and regulatory content and extracts obligations, entities and dates from it; and classification ranks obligations by criticality so compliance teams can allocate resources. A separate risk analytics capability ingests enforcement actions and fines from major authorities and shows how comparable compliance failures have been penalized. Coverage spans more than 120 countries and over 2,500 regulatory authorities plus global standard setting bodies, with original language text, translations and redlined version comparison. Acquired policy technology carries the second half of the platform, mapping regulatory change to internal policies and controls and providing attestation and traceability, so a firm can evidence to a supervisor how a change was assessed, implemented and communicated. The company has grown as a consolidator, taking in the SparQ monitoring platform from a global bank in January 2023, the policy management vendor Clausematch in July 2023 and a professional services firm's regulatory technology platform in November 2024, under majority ownership by a European growth investor since 2024.

CUBE sells automated regulatory intelligence and regulatory change management to financial institutions. Its RegBrain engine, and the RegAI framework built on it, capture, classify and interpret laws, rules and regulations across a stated 10,000 issuing bodies, 750 jurisdictions and 80 languages, then map each change to the policies, controls and teams it affects inside a customer's own framework. Delivery runs through RegPlatform Enterprise for tier one institutions, RegPlatform Intel for mid market banks, wealth managers and asset managers, and RegAssure for lean compliance teams, with RegBrain also exposed through APIs so a customer can run the same summarization, classification and enrichment stack over its own content. Roughly 250 in house regulatory specialists review machine output, a step the company markets as human in the loop assurance. The group has grown largely by acquisition. It absorbed Reg-Room and the Thomson Reuters Regulatory Intelligence and Oden businesses in 2024, then the operational risk controls network Acin in 2025, which has its own profile and still ships under its own name.

daappa sells private markets accounting, administration and data infrastructure to fund administrators and to managers running their own operations. The platform comes in two layers that can be bought separately. Core is the investment accounting and transaction engine, covering partnership, corporate, trust, fund of funds and special purpose vehicle structures with an automated general ledger supporting both major accounting standards, plus investor servicing, relationship management and capital account statements. Studio+ is the data and intelligence layer above it, designed to sit over an existing fund administration arrangement rather than replace it, and combines an artificial intelligence extraction engine with a governed data hub, portfolio analytics, look through reporting, net asset value oversight and an investor portal. The extraction engine is described as a three stage design using computer vision and generative models, parallel model validation, confidence scoring on every extracted field and managed human validation for outputs that score low, with a stated accuracy of about ninety nine percent. A separate managed service provides human validation, extraction and enrichment as an operated offering. The company describes strength in Luxembourg, the United Kingdom and the Middle East, and builds its net asset value oversight against named local regulatory expectations.

AlternativeSoft sells fund research, screening and portfolio construction analytics to the institutions that allocate to alternatives. The platform screens across a stated five hundred thousand funds drawn from more than ten named data providers, calculates over four thousand risk adjusted statistics, and supports peer group benchmarking, factor and style analysis, performance attribution, mean variance and risk parity optimization, Monte Carlo simulation, stress testing, private equity performance measurement and automated investment committee reporting. Its artificial intelligence line sits on top of that engine and does three things: it reads a manager's fund documents and pre populates due diligence questionnaire responses for the manager's team to review and finalize, it flags regulatory, financial crime and governance concerns in those responses before they reach an investment committee, and it generates factsheets, investor reports and pitch books on demand. The company also ships an interoperability protocol server so that an allocator can query its own fund data in whichever assistant the team already uses, with a choice of hosted or local deployment. Trading since 2005, headquartered in London with a Chicago office, it states more than a hundred and fifty institutional clients managing over $1.5 trillion, naming Aberdeen Asset Management, AllianceBernstein, BNP Paribas, Bessemer Trust, Raiffeisen Capital Management, Lyxor, Lumyna Investments and Unigestion among them, and it sells to fund managers as well as allocators, including a marketplace listing that puts managers in front of its allocator base.

Dynamo Software sells a cloud platform that runs the investor, deal and accounting work of alternative investment firms. General partners in private equity, venture capital, private credit, real estate and infrastructure use it, along with hedge funds, limited partners and the fund administrators and placement agents who serve them. One data model holds the CRM and deal pipeline, fundraising, investor relations and the investor portal, portfolio monitoring and valuation, research management and a general ledger for fund accounting. Dynamo also runs its own fund administration service on the platform. DynamoAI, part of the v3.0 release announced in October 2025, adds five agents. They file and tag documents, pull figures from PPMs, LPAs and capital call notices, draft memos and reports, answer questions in plain language and support manager due diligence. Its FAQ names OpenAI and Anthropic as model providers and says client data does not train their models. Each answer carries a confidence score, and AI features stay off until a client turns them on. Firms can also connect their own AI tools through MCP. The ISO/IEC 27001 certificate is public in its trust center, while the SOC 2 Type 2 report needs an access request. The Cynosure Group cut capital call turnaround from four days to two after moving its administration to Dynamo. Dynamo states more than 1,000 clients with over $10T in assets. No price is published. Founded in 1998 as Netage Solutions, it is based in Watertown, Massachusetts. Francisco Partners and Blackstone are its majority shareholders. It bought InvestHub, a Paris investor onboarding platform, in May 2026.

Arch sells a private markets administration platform to family offices, registered investment advisers, individual investors, institutional allocators, accountants and service providers. It gathers capital account statements, investor letters, capital calls, tax documents and other records from funds and direct holdings into one standardized place. It then extracts the data, automates workflows and tasks, and writes AI summaries of investor letters and long documents. Arch says it holds $539 billion of private market assets for more than 650 allocators, including four of the 20 largest global banks and eight of the 20 largest accounting firms. Its privacy policy says client data is hosted in the United States and is not given to third party AI providers for training. MUFG Innovation Partners and Franklin Templeton joined its Series B in 2026. Arch Labs, Inc. is based in New York.

Chronograph sells portfolio monitoring, valuation, analytics and reporting software to private capital investors on both sides of the fund relationship. Chronograph LP gives limited partners such as pension plans, sovereign wealth funds, insurers, endowments, foundations and family offices a view across their funds and portfolio companies. Chronograph GP automates data collection, analytics, valuation and reporting for general partners. Its AI features add semantic search over a client's data, using Anthropic's Claude through a private connection, with connectors for Claude and Perplexity. A data warehousing product delivers client data into Snowflake. Named clients include Carlyle, which captured more than seven million data points from its portfolio, TA Associates, Summit Partners and Sixth Street Growth. Chronograph runs on AWS and offers downloadable SOC 1 and SOC 2 Type I reports and a penetration test report through its trust center. It is based in Brooklyn, New York, with offices in San Francisco and London.

73 Strings sells valuation and portfolio intelligence software to private capital firms and the institutions that invest with them. The platform runs three connected modules: an extraction layer that turns portfolio company financials and unstructured reporting documents into structured time series, a monitoring layer that tracks operating metrics and flags anomalies, and a valuation layer that builds discounted cash flow models, applies market comparables and produces audit ready valuations across private equity and private credit. Founded in Paris by valuation practitioners and now operating globally from New York, the company states its clients manage close to $10 trillion in assets and span pension funds, sovereign wealth funds, limited partners and general partners across North America, Europe and the Middle East, with Eurazeo and Sofina named publicly. It closed a $55 million Series B in 2025 led by the growth equity arm of a major investment bank, with participation from several large alternative managers who are also users of the platform.

Canoe automates the collection, extraction and delivery of alternative investment data for wealth managers, institutional investors, family offices, capital allocators and asset servicers. Canoe Connect retrieves capital calls, distribution notices, statements and tax documents from general partner portals and inboxes. Canoe Intelligence extracts the figures with models trained only on alternative investment documents, and data flows to downstream systems by API or custom formats. Canoe says it supports more than $11 trillion in assets, has ingested over 44,000 funds and processes more than 1.6 million documents a month. Named clients include Blackstone, Cambridge Associates, Hamilton Lane and Prime Buchholz, and Align Impact and Hermes GPE each report cutting alternatives work by 75 percent. It integrates with Addepar, Tamarac, Black Diamond and Orion. Bloomberg has completed its acquisition of Canoe. Canoe holds an annual SOC 2 Type II audit and says portfolio information never leaves its firewalls.

BlueOnion sells responsible investing intelligence and fund selection tools to asset owners, to wealth managers and intermediaries such as banks, external asset managers and consultants, and to asset managers. Its Fund Hub screens and compares more than 300,000 funds and ETFs and 40,000 companies on ESG, temperature alignment and qualitative measures. It draws on 250 ESG metrics from 30,000 sources and on Morningstar Sustainalytics data. Gatekeeper Tools digitize due diligence, requests for proposal and document management for fund selectors, and a reporting portal produces fund factsheets and sustainability reports. The platform adds AI driven insights and carbon management, and BlueOnion references the Hong Kong code of conduct for ESG ratings and data product providers. BlueOnion is based in Hong Kong, with offices in Singapore, Taipei, Kuala Lumpur, Sydney and London.

Clarum builds AI agents for private equity and venture capital firms. The agents turn a firm's own deal memos, diligence materials, partner notes and returns into models the firm can query, and they handle due diligence, portfolio monitoring, fund reporting and investor communications. Clarum says questions that used to take days now get answers in seconds, and it is working with a founding cohort of general and limited partners it doesn't name. It holds SOC 2 Type II, has its defenses tested by Oneleet and lets customers choose where their data is stored. Clarum, Inc. is based in San Francisco.

Arlington, Virginia credit intelligence platform for banks, credit unions and non bank lenders, focused on mortgage and home equity credit for borrowers who are credit invisible or credit thin. Its search technology looks for the combination of loan size and price that makes a qualifying mortgage work for a borrower conventional underwriting declines or never sees, delivered as an Automated Second Look for declined applicants and an Automated Pre-Look for households not yet identified. Built on a stated dataset of more than 18 million loans, with a Loan-to-Cashflow default metric derived from cash flow rather than credit score, and extending through origination to securitisation and investor reporting.

bondIT sells AI fixed income software for portfolio construction, credit analytics and trading to insurers, wealth managers, financial institutions, asset owners and asset managers. FRONTIER builds, optimizes and rebalances bond portfolios against client constraints. SCORABLE uses explainable machine learning on more than 250 variables a day to predict rating changes for over 3,000 issuers a year ahead, and EMBEDDED puts the tools inside partners' platforms through an API. BNY Pershing's BondWise, launched in 2023 on bondIT's technology, serves more than 150 broker dealer and adviser firms that have executed several billion dollars in trades. bondIT also names Ampega Asset Management, MEAG and Sarson Strover as clients and says its clients manage over $500 billion. Advisers and managers review proposals and execute through click to trade or bid wanted lists.

IVM Markets sells structured product idea generation and optimization to the distribution side of the equity derivatives market, meaning brokers, private banks, asset managers, wealth advisers and insurance companies rather than the banks that issue the products. The platform curates thematic stock and index baskets from an expressed investment view, then generates and evaluates thousands of product variations across underlyings, maturities, protection levels and autocall features, using market data and machine learning to reflect issuer appetite so a distributor can see indicative pricing before requesting a quote. Optimized selections pass into multi issuer platforms and marketplaces for auction and execution, several of which are also customers. The founders are former structured products bankers from Merrill Lynch, Royal Bank of Scotland and Deutsche Bank, and their stated thesis is that a handful of issuing banks control and homogenise product content, so moving design upstream to the distributor produces structures better matched to what an end client actually wants.

VantedgeAI, formerly 8vdx, sells document and diligence automation to credit investors, covering bond prospectus and credit document analysis, automated document review, data room evaluation, financial model building, portfolio monitoring and merchant cash advance underwriting. Its buyers are private credit funds, hedge funds, merchant cash advance lenders and other financial institutions, and the platform is organized as a set of specialist agents on one dashboard, each aimed at a defined step of the credit workflow, with hand picked third party agents integrated alongside its own. The retrieval layer uses ontology based frameworks and vector search rather than plain keyword matching, and outputs are collaborative, with teams reviewing, commenting and refining before a summary or memo goes to an investment committee. It was founded in 2021 in Norwalk, Connecticut by two people whose background is a fifteen year credit hedge fund, and it publishes a trust center carrying a SOC 2 Type I attestation and offers single tenant and private cloud deployment with data isolation.

Blue Fire AI sells Emmalyn, a proprietary neuro symbolic AI framework for active investment decisions, to large asset managers and other financial institutions. Institutions either employ Emmalyn to manage their assets as a fully AI native active asset manager or lease parts of its research to improve their own investment decisions. The company positions neuro symbolic AI against generative approaches, saying it favors precision and accuracy, and cites eight years of research and development, Mandarin language research published at AAAI and EACL, and several industry awards. It names no client, partner or performance figure, and its website disclaimer says the content is not investment advice.

Cohesion sells a team of monitoring agents to fundamental equity investors, tracking the companies an analyst covers across earnings calls, investor presentations, regulatory filings, news, podcasts and social feeds, filtering out noise and reporting the developments that bear on an existing investment thesis. The pitch is aimed at the manual half of an analyst's week, the hours spent querying platforms and reading through sources that older research systems do not capture at all, and the company positions the product as an agentic teammate rather than a search tool. It was founded in 2026 in New York by three people whose backgrounds sit either side of the problem, a hedge fund analyst covering software, an engineer from a cloud provider's security organization, and a builder of investor facing artificial intelligence at a large asset manager. It reports being live with more than ten long and short and long only fundamental equity funds managing a combined $10 billion or more, and offers a free trial in which a prospective fund submits a list of tickers ahead of earnings season.

Aiera tracks corporate and economic events for asset managers, hedge funds, investment banks and research publishers. It turns earnings calls and other events into live transcripts, summaries and searchable research. An AI research assistant answers questions across broker research, Third Bridge expert insights, transcripts, filings and news, with every source attributed. Firms use it through dashboards and a mobile app, or pull its content into their own tools through enterprise interfaces and a model context protocol server. Its content also appears inside research platforms such as BlueMatrix and in Claude for Financial Services. Aiera states its human reviewed transcripts are 99.9 percent accurate. A consortium of research providers backs the company, including Bank of America, Citi and UBS. Ken Sena is chief executive and cofounder.

TeamSec runs a cloud securitization as a service platform for banks, investment banks, brokerage houses and asset originators. It covers the structured finance process end to end, from asset selection through to structuring of asset backed and mortgage backed securities, alongside fund accounting, risk analytics, hosting and advisory services. It describes its differentiator as applying AI and advanced modeling to the consequential judgment in securitization, helping clients make informed decisions on which assets enter a pool, while financial engineering expertise handles structuring and risk. Its stated purpose is capital optimization and working capital liquidity, letting originators monetize assets and improve liquidity while meeting regulatory requirements. It positions itself as serving both established institutions and new entrants to the securitization market. It is backed by the venture arms of two banking groups.

Capsa AI sells an AI operating system to private equity firms and other private capital investors. It sources and screens targets and automates diligence tasks such as reviewing NDAs, purchase agreements and covenants and building trading comparables. It also produces quarterly portfolio reports and lets teams build custom workflows for investment committee materials and search. It connects to FactSet, PitchBook, DealCloud, SharePoint and Outlook among more than 15 data sources, links every output to its source, and builds up a firm's institutional knowledge across deals. Capsa says it has a SOC 2 Type II report, keeps each client's data in a segregated environment with regional residency in the EU, US and Switzerland, and never trains models on client data. Named users include Hannover Finanz, Quadriga Capital and Capital D. Capsa raised an $18 million Series A and has offices in London and New York.

Kruncher sells private market intelligence to venture capital and private equity firms, multi family offices and secondaries investors. It builds a single, continuously updated record for each company from a fund's documents, emails, data rooms, call transcripts and premium data, resolves contradictions, and scores companies against the fund's own thesis. Specialized agents handle research, screening, diligence, monitoring, outreach, investment committee preparation and portfolio reporting. It connects to Affinity, DealCloud, Attio and Pipedrive, draws on Preqin and PitchBook, offers a public API and an MCP server for Claude, and prices by module and analysis volume rather than seats. Each customer gets an isolated tenant, data is never used to train models, and the platform can run in the customer's own private cloud on AWS, Azure or Google Cloud. Kruncher says it is ISO 27001 and SOC 2 Type 2 certified. Named customers include QAI Ventures, which cut memo work from three days to two hours, along with Marvin VC, 1982 Ventures and Blacksheep Ventures. Kruncher lists its address in New York.

Transparently.AI detects accounting manipulation and fraud across more than 85,000 listed companies worldwide, serving portfolio managers, risk professionals, auditors, banks, exchanges and sovereign investors. Its risk engine replicates the analytical behavior of forensic accountants, activist short sellers, credit analysts, equity analysts, auditors and academics across roughly 200 proprietary financial models, grouped into 14 clusters of accounting risk signals, producing a letter rating and a 0 to 100 score representing the joint probability that a company is manipulating its numbers and the likelihood of consequent collapse. It reports predicting over 90 percent of corporate collapses up to three years in advance and generates full forensic reports with red flag explanations and suggested next steps in seconds. A generative assistant lets users interrogate any company's financial statements conversationally and returns charts and comparisons alongside the specific question to put to management. Interface access embeds the analytics into existing risk tools.

Finster AI sells a research and agent platform to investment banks, asset managers and private credit teams. Explorer answers open ended analyst questions across filings, research, data and uploaded documents, with citations that open the exact sentence or table cell behind a figure. Tasks run multi step workflows in the background on a schedule or a trigger, such as a new earnings transcript. PowerPoint Automation builds client and committee decks, company primers, strip profiles and CIMs in a firm's own templates, and the Finster Dashboard shows what has changed across each covered company. Finster's engine powers FactSet AI for Banking, which FactSet launched in alpha in March 2026 alongside an investment in Finster. UBS Investment Bank made a strategic investment in August 2026 as part of Finster's Series B. Data comes from FactSet, PitchBook through its Premium Connector, Preqin and MT Newswires, on top of a proprietary pipeline of more than a million documents on over 8,000 companies with deep EMEA and APAC coverage. Finster offers single tenant and containerized private cloud deployments in US and European regions, supports bring your own language model, commits in its terms never to train on customer data and states SOC 2 Type II compliance. Sid Jayakumar founded Finster in 2023 after seven years of AI research at Google DeepMind. FinTech Collective led its Series A in 2025, and the company is headquartered in London and expanding in New York.

AlphaBitCore sells an AI control plane that lets regulated firms govern their AI models, agents, tools and workflows in production. It enforces policy at runtime, routes actions to role based approval queues, and keeps sealed execution records that compliance and audit teams can replay to see exactly what a workflow did. For investment and wealth firms it adds a workbench of 23 agents, 95 workflows, 78 skills and 12 models for research, portfolio, advisory and compliance work, mapped to FINRA's 2026 oversight report and to the SEC's books and records rule. It deploys in a customer's own VPC or on premise, and its Nexus AI Gateway is free and open source. Paid tiers are sold by annual subscription, license or usage credits. Design partners include a credit ratings agency, a financial data provider, a wealth platform and a turnkey asset management program, none of them named. The founders come from Morningstar, IBM Research, RBC Capital Markets and TD Securities.

ForwardLane sells Signal Studio, a decision intelligence platform that turns a firm's own data into signals, natural language answers and next best actions, each with a full audit trail. In financial services it serves wealth managers, asset managers and their distribution teams, banks and insurers. It also sells to private markets, real estate, energy and government clients. Advisers can ask questions such as which clients are overweight in tech with upcoming life events, and distribution teams get alerts on adviser moves and money in motion. The platform processes data inside the customer's own warehouse, such as Snowflake, Databricks or BigQuery. It runs on Azure, AWS, Google Cloud, on premise or bare metal, supports bring your own key and language model, and embeds in Salesforce. Plans start at $295 per user a month and fall to $195 at enterprise volumes. ForwardLane says it holds SOC 2 Type II, has served $3.4 trillion in assets and has been in production for eight years.

Acin sells operational risk data and AI tools to large banks and other financial institutions. It gathers an institution's risk controls into one structured, digitized library, uses its own AI to assess, rewrite and remove duplicate controls, and maps controls to regulations for traceability. Its network works on a give to get model. Institutions benchmark their controls against the Acin Index, built from industry data, to see where they match peers, differ or have gaps. Acin says the network holds more than a trillion risk and control data connections. Barclays, BNP Paribas, Citi, J.P. Morgan, Lloyds Banking Group and Fitch are named as clients and strategic investors. Cube, a regulatory technology company, has acquired Acin. It is based in London.

Carrington Labs builds credit risk models for banks, credit unions, fintechs and nonbank lenders, and runs them as a managed service inside the systems a lender already has. Its main product is a Credit Risk Model trained on the lender's own borrowers and repayment outcomes. Lenders without enough history of their own can start with the Cashflow Score, a ready made 1 to 100 score built from bank transaction data. Further models set loan amounts and prices and watch loans after origination. Scores arrive by API, batch, an MCP server or a Snowflake Native App, and the lender keeps every decision. Carrington Labs is a business of Beforepay Group, listed in Australia.

Prism Layer encodes an organization's risk frameworks, regulatory context and institutional knowledge into what it calls a governed agentic execution layer, aimed at financial services, payments and fintech firms. Its distinguishing claim is that rather than storing risk records after decisions are made, it executes the structured reasoning behind risk analysis as those decisions happen, producing auditable and defensible output at business speed. Supported work covers risk assessments, key risk indicators, controls testing, risk and control self-assessments and product risk review. The company emerged from stealth in April 2026 with a pre-seed round led by a venture firm focused on financial services and regulatory technology whose partners include former senior leaders of the US consumer financial regulator. Its three co-founders were all risk executives at the same payments company, with prior enterprise risk leadership across money transfer, brokerage, card network and consumer lending businesses, and direct experience with Irish, Australian and UK regulators.

Farseer sells an AI monitoring and decision support platform to banks, listed companies and government bodies, mainly in Hong Kong and mainland China. It tracks news, social media and regulatory updates from more than a million sources in over 75 languages, with native English and Chinese analysis. It covers three areas: reputation management, market insights and public governance. Risk Radar sends real time sentiment and anomaly alerts by email, WhatsApp, WeChat or the Farseer app. Rapid Decisions uses generative AI to write communications, market insight and issue analysis reports, which Farseer says cuts reporting time by 80 percent. Dashboards and APIs connect to a client's own systems. Named clients include HSBC Hong Kong, for brand sentiment monitoring, and Xiaomi Group, for monthly investor relations reports. Farseer is based in Hong Kong with offices in Singapore and Chengdu.

ibl.ai sells an AI agent platform that institutions run themselves, in their own cloud, on premise or fully air gapped, with the full code licensed perpetually to the customer. For banks, broker dealers, asset managers and wealth firms it offers agents for compliance monitoring, risk analysis, KYC and anti money laundering checks, fraud detection, client advisory, portfolio analysis, onboarding and trading operations. The platform works with Claude, GPT, Gemini, Copilot, Amazon Bedrock, NVIDIA and open source models, chosen and switched by the customer. It connects to core systems such as FIS, Fiserv, SS&C, Jack Henry and Broadridge, CRMs such as Salesforce Financial Cloud, Redtail and Wealthbox, and data from Bloomberg, Refinitiv and FactSet. It stresses documented models, version control, independent validation and audit trails for model risk reviews, and says it is SOC 2 Type II compliant. Enterprise pilots start at $15,000. ibl.ai serves more than 400 organizations across education, government, healthcare and finance, though it names no financial institution. It is family owned and based in New York.

Block Convey builds two AI governance layers for banks, asset managers, insurers and fintechs. PRISM captures every language model call, tool invocation and reasoning step in production, scores quality, applies guardrails that strip regulated identifiers at ingestion, and exports regulator-facing evidence packs in under a minute from tamper-proof immutable traces, with compliance teams reviewing session-level transcripts rather than raw logs. PRISMX is a managed browser extension enforcing data loss prevention on consumer assistants, intercepting paste-and-prompt traffic at the endpoint so personal data, health data and source code never reach an external model. Obligations are mapped individually across US banking model risk guidance, state cybersecurity rules, fair lending requirements, insurance model bulletins and European AI and operational resilience regimes. Supported models, cloud platforms and agent frameworks are named explicitly.

Lama AI sells AI native loan origination software to community and regional banks and credit unions for small business and commercial lending. Its agents take a borrower's package from the first message through spreading and underwriting to a decision ready credit memo in about five minutes, then on to approval, closing and portfolio monitoring. Small dollar loans that pass a bank's own rules can move straight to a decision, with exceptions routed to staff. It covers SBA and USDA programs alongside commercial real estate, construction, agriculture and business credit cards. More than 100 prebuilt integrations include Fiserv, FIS, Salesforce and the SBA's E-Tran system, and the platform runs alongside a bank's existing systems rather than replacing them. Dozens of banks are in production, SouthState Bank, Gate City Bank and Colony Bank among them. A Series A led by EJF Ventures in June 2026 took total funding past $20 million.

SecureLend sells underwriting as a service to banks, private credit and factoring lenders, and venture and private equity firms. A team uploads a borrower package, pitch deck or data room, and its agents extract the facts, spread the financials, screen the parties against sanctions lists, apply the institution's own rubric and draft a credit, underwriting or investment committee memo with every material figure cited to its source. The software can draft a decline or refer a file, but only a named person approves credit. It works beside nCino, Abrigo or another loan system, or on SecureLend's own loan ledger, which charges a book fee only on loans it holds. Each step can run on managed OpenAI, Anthropic, Gemini or DeepSeek models or on the customer's own OpenRouter account, and a seven day trial needs no card. Developers can call the same agents over the Model Context Protocol (MCP) at published per call prices, and a separate loan comparison service inside ChatGPT and Claude matches borrowers with more than 200 lenders.

Crediflow AI automates the commercial credit workflow for banks, community banks, credit unions, private credit funds, brokers and fintechs, taking borrower files that arrive as financial statements, tax returns, bank statements, spreadsheets and scans and turning them into standardized financials, explainable ratio, cash flow and debt service analysis, a lender-branded credit memo, approval routing and post-close covenant monitoring. It reports moving from unstructured documents to a full credit assessment in under ten minutes against manual workflows measured in days or weeks. Its stated design principle is that speed alone is insufficient for regulated lenders, who must trace every output back to source documents, understand how each ratio was calculated and explain exceptions to credit officers, auditors and examiners. It is positioned to sit alongside existing loan origination systems rather than replace them, and states plainly that it is not a consumer credit app, a chatbot, or a replacement for a lending team.

BlueFlame AI sells an AI agent for private markets deal work, and it has been a Datasite company since 2025. Private equity firms, investment banks, private credit lenders and corporate development teams are the core buyers. Its agent, Amp, takes a multi step request and works it through. It screens a CIM, reviews a data room, drafts an investment committee memo or builds a buyer list. Analysts and associates reach it in the web and mobile apps, by email from Outlook, in an Excel add in, or inside a Datasite data room. More than 40 prebuilt finance skills come with it, and a firm can add its own. Since 15 October 2026, BlueFlame also runs inside Grata Intelligence, a Datasite workspace that adds Grata's private company data. Connections reach CRMs such as DealCloud and Salesforce, and market data from FactSet, S&P Capital IQ and Preqin. Custom connections over MCP bring in a firm's own systems. It runs on Amazon Web Services with each client's data held apart, and it states SOC 2 Type II. A public subprocessor list names its model providers, OpenAI, Anthropic and Google among them. Cinctive Capital, Siguler Guff and Anchorage Capital Partners are named clients. No price is published.

Intensel quantifies physical climate risk at individual asset level for banks, insurers, asset managers, sovereign funds and real estate owners, translating flood, typhoon, wildfire and drought exposure into financial metrics including Climate Value at Risk, average annual loss, credit spread adjustments and operational disruption estimates. Its stack combines a proprietary hydrology digital twin, climate physics simulation for typhoons and deep learning for wildfire, with more than 200 damage curve models and an insurance-style hazard by exposure by vulnerability formulation, delivered at spatial resolution from half a meter to ninety meters across more than ten hazards under six international climate scenarios out to 2100. Adaptation modeling quantifies how specific interventions such as drainage or raising a building's base reduce future losses. Outputs support portfolio stress testing and disclosure against established climate reporting frameworks.

HyperNorm AI sells an AI decision platform to registered investment advisers, wealth managers, fund managers and fintech platforms. It ranks which client portfolios need attention and maps market events, earnings surprises and central bank moves to each client's holdings in plain language. It then suggests actions filtered through each client's risk profile and mandate, with scenario analysis. It also turns client meetings into tasks and portfolio actions and tracks progress toward clients' goals. HyperNorm says it has enriched more than 70 million events, reaches 65 percent directional accuracy on stock and fund price predictions and lets advisers handle four times as many clients. Its privacy policy says data is stored on AWS. HyperNorm AI was founded in 2024 and has offices in Bengaluru and Wilmington, Delaware.

Accend sells AI underwriting software to commercial banks, commercial real estate lenders and fintech lenders, pairing machine extraction with expert review of every financial spread. Accend for Banking parses full tax return packages, from Form 1040 to partnership and corporate returns with their schedules, along with audited or unaudited financial statements, into spreads that link each figure to its source. It maps them into personal, business and global cash flow models set to the bank's own policy, drafts the credit memo and tracks covenants. A separate onboarding product researches businesses and their industry risk for know your business checks. Slope, Evergrow and Percent use the underwriting tools, and Pleo, TransFi and Decentro the onboarding tools.

MioTech builds sustainability and ESG data infrastructure for Asian capital markets, using natural language processing and a knowledge graph to mine more than 12,000 public sources across over 800,000 companies, then combining that with supply chain, shareholding and investment data to produce ratings, indexes, real-time risk monitoring and research. Its buyers span green bond issuing banks, sovereign and mutual funds, hedge funds, private equity, family offices and sell-side research desks, alongside corporates using its software for regulatory disclosure, carbon accounting and climate analytics. It exists because the underlying data is largely unreported in Asia, so models must infer what European and American markets can simply collect. It serves around 2,000 clients from offices in Hong Kong, Shanghai, Beijing and Singapore, and counts several global financial institutions as both shareholders and customers.

Hazel is an AI platform for wealth management firms, offered by the custodian Altruist and sold to advisers wherever they custody. It captures and summarizes meetings, drafts follow ups, builds client profiles from custodial records, emails and life events, and answers questions across a firm's data. Its tax and financial planning agents read tax returns, pay stubs and statements and produce plans in minutes. Hazel publishes per seat prices: $60 a month for the platform, $160 with the Tax Planning Agent and $300 with the Financial Planning Agent. It says AI providers delete data after each request and are contractually barred from training on it, stores all data in the United States, and holds SOC 2 Type II. Hazel says more than 1,000 firms and 1,500 advisers use it, including Ritholtz, Pando Wealth, Domain Money and Root Financial. It is based in Culver City, California.

Smart Capital Center sells an AI platform for commercial real estate investors, lenders and asset managers that carries a deal or loan from origination and underwriting through asset management, servicing and securitization. Its agents read offering memorandums, rent rolls, operating statements, leases and appraisals, reconcile the figures, pull comparables, build underwriting models and draft investment and credit memos. They also track covenants, maturities and insurance across a portfolio. People keep the decisions. Agents prepare the analysis and recommend next steps, and a recommended action applies only when a team member approves it. Every extracted figure links to its place in the source document and carries a confidence score, and a second agent checks each extraction. Customers include JLL, KeyBank Real Estate Capital, Centers Dynamic Partners and Rose Community Capital, and JLL cut the time to process one financial statement from 30 to 40 minutes to 1 to 3. The platform connects to Yardi, SS&C Precision and Midland Enterprise and runs on private servers in the United States. A free Starter plan sits below a Professional plan at $350 a property on monthly billing, with Enterprise priced by module.

ValidMind sells model risk management and AI governance software to banks and insurers. Validation teams use it to test models, draft documentation, run validation workflows and keep an inventory of models and AI systems with their risk tiers. An open source Python library runs the tests inside the customer's own environment and sends results, not datasets, to the platform. Its AI features run on OpenAI's GPT-4.1 and draft documentation, check it against regulatory templates and map evidence for a validator to review. The platform maps to SR 26-2, the 2026 interagency guidance that replaced SR 11-7, and to the PRA's SS1/23, OSFI E-23 and the EU AI Act. Experian sells an assistant for model risk management built on ValidMind inside its Ascend platform. Agent Authority, in early access, adds approval controls for AI agents.

Linvest21 builds AlphaCopilot, an investment platform run by specialized agents including equity analysts, portfolio managers and virtual chief investment officers, sold to investment institutions and aimed at giving medium and smaller asset managers capability previously affordable only to the largest firms. It covers the chain end to end, from idea generation and research through portfolio construction, risk management and performance analysis to customized client communications, and a 2025 addition delivers real-time global macroeconomic analysis in fifteen structured sections for chief investment officers and research leads. The company describes a human in the loop architecture in which the models recommend and people decide, and reports hundreds of billions of dollars in assets under its platform's supervision. Its founder spent 22 years at a major asset manager, latterly as chief technology officer of its global investment platform, and holds six financial technology and applied AI patents.

Barkr values hard to price loan collateral with AI for banks, lenders, asset managers and insurers. Its small language model, built on valuation methodologies and trained on proprietary data and large resale datasets, prices art and collectibles, jewelry and watches, vehicles and classic cars, private jets and data center equipment such as graphics processors. Clients upload whatever they have through a portal, from photos to invoices and prior appraisals, and get back a report with the method and comparable resale transactions in hours rather than weeks, on whichever basis the need calls for, such as fair market or orderly liquidation value. Health Check reviews a whole portfolio for collateral at risk. Barkr sells two tiers. The platform alone gives individual and portfolio pricing. The guaranteed tier, for qualified clients, adds expert review and error protection: if a defaulted asset sells below the predicted value, Barkr and its A rated insurance partners cover the difference, backed by Munich Re's aiSure performance guarantee insurance.

Bridgewise sells AI investment research and advice tools to stock exchanges, banks, brokerages, trading and CFD platforms, asset managers and wealth advisers, who embed them for their own customers. Its products rate and analyze stocks, funds, bonds and other assets across more than 90 percent of global securities. They include Bridget, a chat assistant that answers investment questions, and pAI, a wealth agent. Bloomberg reported in 2024 that Israel had cleared Bridget to give buy and sell advice. In a Bridgewise case study, Rakuten Securities generated 1.2 billion yen in new revenue in the five months after adding StockWise analysis in Japanese. Other named partners include Japan Exchange Group, B3, IBI Investment House, Alpaca and ING. Bridgewise has acquired the US sentiment analytics firm Context Analytics.

Pactio sells cloud software that private equity investors and their advisers use to close deals. It keeps sources and uses, capitalization tables, expenses and wiring schedules in sync, generates structure charts and flags errors as the team works, replacing the spreadsheets and email chains a closing usually runs on. Every change is recorded in an audit trail, and a time machine feature restores earlier versions of the data. Pactio describes institutional grade security, controlled access and encryption. Pactio raised a $14 million Series A led by EQT Ventures in April 2024, when it said the platform builds AI into deal creation and closing workflows. Its current homepage describes automation and error detection without describing AI.

Ethos AI is a New York company that sells agent governance and workflow software to banks, describing itself as the safety harness for the AI a bank already uses. Its Data Layer and Workflow Engine run six solutions: generative AI governance, control testing, call center review, change reconciliation, model risk, and stablecoins and digital assets. In model risk it keeps an inventory of every model, vendor model and AI application with its tier, materiality and owner, sizes validation to materiality, and tracks findings and monitoring results. Agents gather evidence, draft assessments and route approvals, running on the AI providers and in house models a bank has already approved, while validators and testers make the decisions. Clients choose a self hosted, dedicated private cloud or managed cloud deployment. It raised a $6 million seed round led by Canapi Ventures, with Capital One Ventures and Better Tomorrow Ventures.

WealthAi sells an AI operating system to wealth managers, advisory practices, family offices, external asset managers and private banks. Specialist agents cover front, middle and back office work, from research, meeting preparation and onboarding to KYC, suitability reviews, market abuse reporting and custodian management, alongside a unified client file and meeting intelligence. The platform routes each workflow between AI models and fixed logic according to its risk, requires human review and records every decision in an audit log. It runs on Azure in the UK South region and keeps client data out of shared model training. A marketplace adds data and tools from Morningstar, MT Newswires, Flanks, Bridgewise and others. Basic costs 250 pounds per user a month, and Enterprise is quoted for ten or more users. Named clients include Mediobanca, Patronus Partners, Saranac Partners and Affinity Wealth. WealthAi is based in London.

Agio Ratings, a London company, sells numerical default forecasts for the firms that hold and move crypto. Its statistical models give more than 70 exchanges and custodians a one year probability of default, and the coverage now reaches stablecoin issuers and liquidity providers. Trading firms, insurers and banks use the ratings to set exposure limits, screen counterparties and price cover, and a modeling tool turns a portfolio of ratings into a loss distribution. A firm can also commission a solicited rating of itself, published with a default probability, a loss given default and an expected loss. In July 2026 Agio applied the method to DeFi, rating the Aave V3 Ethereum Core Market. Its public record includes flagging FTX at high risk four months before its bankruptcy.

Blooma is a digital underwriting and portfolio monitoring platform for commercial real estate lenders, serving commercial banks, private lenders and brokers. It extracts and analyses data from financial statements, property appraisals and records, combines it with market data to produce credit risk assessments, and then keeps monitoring the book continuously rather than at annual review, so property values, capitalization rates and forward cash flows update as conditions move. The company reports origination time reduced by up to 85 percent and lenders processing 50 percent more transactions at the same headcount, and states plainly that automation does not replace underwriting judgment, positioning the product as an assistant that removes repetitive work. A top twenty United States bank publicly announced adoption, reporting parts of its workflow falling from days to hours.

Centauri AI turns the documents investment teams handle, such as credit agreements, PDFs, Word files and pitchbooks, into structured data. Its DataCube platform serves front office deal teams, middle office risk and portfolio teams, and back office operations at credit funds, insurers and other investment firms. Every extracted value carries a citation to its source, low confidence outputs are flagged for human review, and a full audit trail is kept. Results go to data warehouses, APIs and files. Firms can use it as cloud software, in a single tenant environment, or inside their own AWS or Azure cloud. The company also sells developer tools for managing coding agents. Centauri AI quotes a credit fund managing director and an insurance allocator's investment manager without naming their firms, and states more than 99 percent validated accuracy on high value workflows. It holds SOC 2 Type II and is backed by Y Combinator.

Artian builds multi agent AI for financial institutions. Banks and other financial services firms use it to build, deploy and supervise agents that handle operational work in areas such as capital markets, wealth management and operations. An agent builder lets staff create agents in plain language, workflow agents run structured or dynamic plans, and an execution platform lets agents collaborate through what Artian calls a multi agent exchange. An agent registry gives oversight of deployed agents, and Artian says humans supervise the agents and that deployments follow the customer's software development lifecycle. Artian names no customers, citing a US top 10 bank and a global top 10 bank. It is based in New York.

Claira turns the data locked inside financial legal agreements into granular structured datasets that institutional investors can act on, serving private credit funds, banks, investment firms, trading desks and law firms across collateralised loan obligations, municipal bonds, leveraged loans, commercial real estate and structured credit. Its argument is that investment analysis in private markets still relies on people remembering past lessons while firms sit on troves of proprietary research they never reuse, so the platform both accelerates document work and systematically captures institutional knowledge for future transactions. Documents arrive by email to a dedicated secure address and are ingested, classified and routed automatically with no uploads or manual tagging, and executed documents received at loan closing produce an auditable and traceable data feed. A named bank executive reports structured credit document analysis falling from over twenty minutes to minutes.

TRaiCE, built by Menerva Software, gives commercial lenders and investors early warning on borrowers whose financial statements have not yet caught up with reality. Its premise is that exposure is monitored using financial data that arrives monthly, quarterly or annually and is therefore a lagging indicator, while the digital signals of business distress go unmonitored. Proprietary machine learning and language models combine the lender's own account data with bureau records and a company's public digital footprint across news and social sources, producing an Early Warning Risk Index and a Business Sentiment Index that assess business health daily, rank order accounts by default risk, predict risk three to six months ahead and issue alerts on the highest risk customers. It also supports allowance calculations and covenant monitoring, and is positioned as augmenting existing systems rather than replacing them.

Karus builds credit intelligence for consumer auto finance, serving originators, lenders, dealers and the investors who buy the paper, with proprietary models trained on tens of millions of loan outcomes. Its argument for why auto is its own discipline is that most loans move through a dealer rather than direct to the borrower, so an originator must price in seconds against the borrower's credit trajectory and the specific vehicle's depreciation risk: generic tools score the borrower, auto requires scoring the loan and the dealer. Separate model classes handle underwriting, loan structuring and dealer level pricing, with real time portfolio monitoring, cash flow forecasting and a conversational layer over the suite. The platform ran alongside a lender's own underwriting team for twenty months on the same loan population as a controlled comparison.

Ultramarin builds AI forecast models for global equity markets and sells their output to professional investors in Germany. Investors can buy it as active ETFs, including AI Enhanced Eurozone Equities and AI Enhanced US Equities, as public funds such as AI Global Opportunities, AI Navigator and the WWK KI Alpha funds, or as specialty funds and structured products built for an institution. Ultrascope gives API access to its AI equity research on more than 2,000 companies worldwide. The models combine fundamental and behavioral data, and a proprietary Fast and Slow model, inspired by Daniel Kahneman's dual process theory, steers tactical equity allocation. Ultramarin Capital GmbH in Munich is supervised by BaFin and the Deutsche Bundesbank. The company has offices in Berlin, Munich and Frankfurt am Main and is based in Berlin.

Sherpas sells AI agents that do the analytical work behind financial advice for wealth management firms. Intake pulls and structures client data from any document. Paraplanner drafts a narrative financial plan with observations, risks and strategies, and Portfolio Analyst prepares investment proposals matched to a client's goals and risk profile. Sherpas says advisers stay in control and that the agents learn each adviser's voice. It claims a 95 percent cut in time to advice, from 8 to 10 hours to about 20 minutes per client, without naming a customer. The platform runs on Fly.io in Equinix data centers, and a SOC 2 Type 2 report is in progress. Sherpas raised a $3.2 million seed round in February 2026. The company's legal name is Sherpas Wealth Technology, Inc.

SESAMm sells ESG, reputational, supplier and KYC risk intelligence to private equity firms, asset managers, banks, insurers and compliance teams. Its AI reads more than 30 billion documents from over 4 million public and premium sources in more than 100 languages, and flags controversies and risks on more than 5 million public and private companies. Customers use it to screen companies before investing or onboarding and to monitor portfolios and suppliers, through a hosted dashboard, alerts and integration into their own workflow tools. It has added AI agents to its product line. Its methodology page says its Controversy Exposure Score is produced under the EU's ESG ratings regulation. Named customers include Carlyle, BNP Paribas, Allianz Commercial, Raiffeisen Bank International, Sustainable Fitch and Caisse d'Epargne Rhône Alpes. SESAMm is based in France.

InvestSuite sells white label investing software to banks, brokers, wealth managers and other financial institutions. Its products let an institution launch a robo advisor, an execution only investing platform, portfolio construction tools or narrative performance reports under its own brand. Its newest product, Charlie, is a conversational AI agent that takes a client through research and order execution, with compliance guardrails on every input and output, advice deflection and a confirmation step before an order. Charlie runs in the institution's own cloud with a choice of language models from Anthropic, Google, OpenAI or Mistral, and no client data is sent to InvestSuite. The robo advisor keeps every portfolio within the institution's investment policy and supports MiFID II onboarding. SpareBank 1 and Odeabank are named customers, and First Rate is integrating StoryTeller into its Core 2.0 platform. InvestSuite says it supplies software rather than regulatory services and that compliance stays with the licensed institution. It is based in Leuven, Belgium.

WNSTN sells an AI assistant and analytics layer that brokerages and other investing platforms embed in their own apps. The assistant answers client questions in real time and delivers research, analytics and charting across more than 70,000 assets, using data from partners including TipRanks, Benzinga and Acuity. WNSTN Connect gives the firm a live dashboard of what clients ask and how they behave. The platform deploys through an API or white label widgets, and a Compliance Officer agent checks conversations against rules from FINRA, the SEC, CySEC and MiFID II. In a case study of an unnamed US broker over about 12 months, WNSTN users made 2.3 times more trades than non users, and WNSTN credits itself with an 8.4 percent revenue contribution. Named customers include Benzinga, Prosperum Fintech Holdings and Meritz Securities in South Korea. WNSTN Inc. is a Delaware company.

FinTech Studios runs an AI intelligence engine that turns news, filings, regulatory updates and market data into cited research for financial professionals. Compliance teams, analysts, developers and AI agents use it through daily briefs, search and its RegLens regulatory product. Every insight carries an inline citation with the publisher, date and link. Users reach it through the FTS Studio workspace, APIs and SDKs, an MCP server for tools such as Claude and ChatGPT, and connections to Salesforce, HubSpot and Slack. A free plan needs only a login, and Pro starts at $20 a month. FinTech Studios lists S&P Global, Citi, J.P. Morgan, PwC and MSCI among its clients and states SOC 2 Type II. FinTech Studios, Inc. is based in New York.

Cognaize extracts decision ready information from the most complex unstructured financial documents, including credit agreements, financial reports, ESG disclosures, loan applications, regulatory filings and trustee reports, for banks, insurers, asset managers, data providers and credit rating agencies. Its approach combines neuro symbolic agents with finance specific language models trained on more than 1.3 million financial documents, a separate class of AI verifiers whose function is to validate extracted values against each institution's own definitions and rules, and an interface built to engage human experts in the loop, which the company calls hybrid intelligence. Models are deliberately downsized and fine tuned so they can run on premise or in a private cloud, keeping customer documents inside the institution's own environment.

Simudyne builds agent based simulation for financial institutions, modeling the individual behavior of banks, asset managers, funds, customers and market infrastructures so that system level effects emerge from their interactions rather than being assumed. Its argument is that conventional stress testing cannot capture the dynamics, feedback and interconnectedness that characterize an actual crisis, and that tracing how a shock propagates requires simulating heterogeneous participants acting on idiosyncratic and sometimes suboptimal rules. Banks use it across credit, market and operational risk for default contagion, stress testing, market execution, fraud and financial crime, with the platform running millions of scenarios on cloud infrastructure so decisions can be rehearsed before they are taken. Simulators are validated through a published six step process.

Alkymi turns the documents that carry private markets data, such as capital calls, schedules of investments, loan agent notices and statements, into structured data. Asset allocators, private equity firms, alternative investment managers, wealth managers and limited partners use it to stop keying documents by hand. Its Data Inbox ingests and manages documents, including retrieval from investor portals, and Patterns automates the workflow for each document type. Alkymi Alts and Alkymi Private Credit package the platform for alternatives and loan operations. It connects to SimCorp Dimension, FINBOURNE and Snowflake, and runs language models through Azure OpenAI, Amazon Bedrock, Groq or a customer's own hosted model. Northwestern Mutual, Principal Asset Management, Strategic Investment Group and HESTA are named customers. Alkymi completes an annual SOC 2 Type 2 examination and can host customer data in the EU. It is based in New York.

Accelex automates the extraction of investment data from private markets fund documents for asset owners, allocators, institutional investors and the asset servicers acting for them. Private market investments arrive as unstructured capital account statements and fund reports rather than as feeds, so the platform first solves acquisition, connecting directly to investor portals, email attachments and file transfer to assemble a consolidated document flow, then applies proprietary machine learning to extract performance and transaction data at both fund and underlying asset level, including instrument level detail across the capital structure for private debt. Analytics and reporting sit on top, with a complete audit trail giving instant traceback to the source document. Clients represent more than $1.5 trillion invested across 13,000 funds and 4,000 managers. Founded by Franck Vialaron and Michael Aldridge, the company was acquired by Carta on 2 October 2025 and its technology now ships as Carta LP Portfolio Analytics, extending a platform that already served founders, general partners and more than 125,000 limited partners into limited partner portfolio analysis. Its Series A had been led by a major financial data provider that also embeds the technology.

AiCurio built what it describes as the first commercially available deep learning neural network for United States residential mortgage cash flows, predicting every monthly payment at the individual loan level including principal, interest and servicing costs, which necessarily means predicting defaults and prepayments at the same granularity. The model was trained on more than 100 million loan records and several billion monthly payment records spanning 22 years, with up to 300 data elements per record, and forecasts up to 96 months ahead. Owners, servicers and investors across whole loans, servicing rights and non performing and reperforming pools use it for life of loan analysis, portfolio surveillance, loss mitigation prioritization and identifying refinance opportunities. It also operates as the engine inside other vendors' mortgage analytics products.

Renew Risk builds catastrophe models purpose designed for renewable energy assets, which conventional models handle poorly because turbines now reaching 160 to 230 meters in deep offshore water did not exist when the historical loss record was created. Its models calculate the frequency and severity of financial losses from windstorm, hurricane, earthquake and severe convective storm, using large cloud simulations and machine learning alongside engineering science, and cover the United Kingdom and Ireland, Europe, Taiwan, Japan and the United States across offshore and onshore wind, solar, tidal and hydrogen. Buyers are insurers, reinsurers, brokers and banks who need to price risk, commit capacity and finance projects, alongside developers and asset managers. New models are produced in around nine months against industry timelines exceeding three years.

TIFIN sells TIFIN.AI, a platform of AI agents for wealth managers, asset managers and insurers. The agents work for home office staff, advisers and end clients across operations, investments and growth, and a firm can start with one agent and add more. TIFIN.AI runs on top of a firm's existing CRM, custodial, portfolio accounting and market data systems. Agents work within the firm's permissions and wealth specific guardrails, are evaluated before release and leave audit trails. The group also runs TIFIN Give for tax intelligence, @Work for workplace to wealth programs, AMP for asset manager distribution, and Magnifi. TIFIN names AssetMark, Cetera, Janus Henderson, Hub International and Ares among its users and Morningstar, FactSet, Broadridge and SEI among its partners. It says one RIA aggregator cut onboarding from weeks to under a day of human input. TIFIN is based in Boulder, Colorado.

Axyon AI builds deep learning models that rank stocks, sectors, indices and futures by expected relative performance. Asset managers, hedge funds, wealth managers, private banks and family offices use its signals, model strategies and indices in their own investment process. It trains thousands of models for each investment universe on market, fundamental, macro and sentiment data from providers such as Morningstar, FactSet and LSEG. Every prediction is broken down into the factors that drove it, and backtests use point in time data with costs included. Axyon Foresight adds agents that turn an investment thesis into a basket of stocks under human supervision. Mediolanum Gestione Fondi, SMBC Global Investment & Consulting and AcomeA SGR are quoted as clients, and Axyon states about 500 basis points a year of alpha delivered. ING and UniCredit are among its investors. Axyon AI SRL is based in Modena, Italy.

Flanks gathers a wealthy client's holdings from every bank, broker, custodian and alternative asset platform into one clean data set. Banks, family offices, external asset managers, pension providers and wealth technology firms use it to see a client's whole portfolio and report on it. Flanks Aggregate connects to more than 700 institutions through APIs, data feeds, statements and online banking sources, then standardizes and reconciles the data. Flanks Lume adds market data, and an AI Financial Analyst powered by Perplexity answers questions about portfolios. Reports, simulations and analytics sit on top. CaixaBank uses Flanks for its GlobalView private banking service, and Bankinter and Indexa are among its named clients. Flanks states 8.2 million portfolios processed each month and publishes a SOC 3 report alongside its SOC 2 Type II. Split Payments, S.L. trades as Flanks from Barcelona.

Umony captures, archives and monitors regulated communications for banks, hedge funds and private equity firms across mobile calls, text messages, app based messaging, email, voice and video. Its distinguishing choice is architectural: Umony Mobile records inside the carrier network rather than on employee handsets, so capture does not depend on device settings or capture software, cannot be switched off or bypassed by the user, and comes with a complete audit trail. Carriers named include BT, EE and Bandwidth, and integration partners include Symphony, Smarsh, Global Relay, NICE, Bloomberg and Verint. Generative models monitor communications for potential misconduct. Umony reports more than 240 customers, holds ISO 27001, ISO 42001 and ISO 22301 certification, and its advisory board includes Tracey McDermott, a former acting chief executive of the Financial Conduct Authority, and Hemma Lomax, a former Securities and Exchange Commission prosecutor.

Onthos, formerly Theia Insights, sells AI that classifies companies by what they actually do. Asset managers, index and ETF providers, investment banks, hedge and quant funds and wealth platforms use it in place of static industry codes for research, portfolio construction and risk. Its tools cover industry classification for public and private companies, thematic factor models, Concept2Universe, which turns an investment thesis into a list of companies, and an infrastructure product that links a firm's own data into the same knowledge layer. Customers reach it through a platform, an API and an MCP connection for AI agents. Onthos names no customers on its site. Its privacy policy allows customer uploaded data to be used to train its AI unless the customer opts out. Theia Insights Ltd. trades as Onthos and is based in Cambridge, UK.

Cyndx has ceased operations. As of 3 October 2026, cyndx.com carries a notice from founder and chief executive Jim McVeigh saying the company is dissolving because the financing environment and market conditions did not let it scale. It adds that customers, partners and vendors have shown interest in acquiring parts of its technology, intellectual property and team. The notice gives no date and no detail on customer data access. Cyndx sold an AI deal origination platform to private equity and venture capital firms, corporate development teams and advisers. It mapped companies by what they actually do rather than by industry codes, and predicted which private companies were likely to raise capital. The profile below describes the platform as it was sold before the shutdown.

Ezra, formerly Ezra Climate, turns the unstructured data rooms behind asset backed credit and project finance transactions into structured datasets, extracting deal terms, surfacing risks and drafting investment memos, research reports and diligence question sets for credit teams. It is built as a closed loop system in which every output is grounded in the underlying deal documents and traceable back to source material, a design the company adopted after a year of internal benchmarking found general purpose models answering private credit questions incorrectly or without support around 30 percent of the time. Alongside the analysis platform it is building a network connecting companies raising capital with institutional lenders seeking deal flow, across renewable energy, infrastructure, fintech and real estate.

Performativ sells a cloud platform that runs a wealth manager's portfolio management, trading, reporting, compliance and client data in one place. Wealth managers, asset managers, family offices and private banks in Europe use it to replace a patchwork of older systems. AI agents work inside the same permissions, policy guardrails and audit logs as staff, so an agent cannot do anything a person in that role could not. Firms can build their own agents with its AgentKit. It connects to custodians such as Julius Bär, Nordea and UBS through standardized integrations and an open API. Performativ states more than 100 billion euros in client assets and 1,500 advisors on the platform, and names Valuedge, TOBA Advice and Roemer Kamp & Partners among its clients. It commits to keeping all data in the EU. Performativ ApS is based in Copenhagen.

Gain, formerly Gain.pro, sells private market intelligence to private equity investors, M&A advisers, corporate development teams and consultancies. It profiles private companies, investors, deals and advisers so dealmakers can find targets and map markets. Hundreds of researchers check the profiles that its automated collection assembles. On top sit AI search, market mapping, watchlists that surface opportunities on their own and an agent that turns data into next steps. It syncs with Salesforce and DealCloud and offers an Excel add in, API feeds and an MCP connection. Gain states more than 400 enterprise clients, including Bain Capital, Nordic Capital and PwC, and a customer story credits it with cutting research and screening time by two thirds at Egeria. It holds SOC 2 Type 2. Gain.AI B.V. is based in Amsterdam.

Streetbeat builds configurable AI for banks, wealth and asset managers and insurers. Its agents help advisers prepare for meetings, suggest next actions and rebalance portfolios, and its portfolio engine lets institutions offer white label investing to their own clients. Institutions can run it on premise or in their own cloud, with configurable human review for critical decisions and tamper evident audit logs. Its agents use models from OpenAI, Anthropic and Google's Vertex AI alongside Streetbeat's own patented technology. The company also now sells to nonprofits, biotech and manufacturing firms. Streetbeat holds SOC 2 Type I and Type II reports. A subsidiary, Streetbeat LLC, is an SEC registered investment adviser that runs the consumer Streetbeat App; the technology for institutions is sold by its parent, Nowcasting.ai, Inc. The company was founded in Palo Alto and has offices in Milan and Wroclaw.

Traive supplies credit risk assessment and asset qualification across the agricultural finance chain, serving lenders, crop input manufacturers, traders, cooperatives and capital markets participants rather than farmers directly. Its models combine language models with generative adversarial networks to evaluate more than 2,500 data points per borrower, drawing on alternative farming data and individual producer behavior, and a real time monitoring system tracks exposures using analytics connected to satellite imagery. A single platform lets participants review, register, manage and trade agricultural loans, with the stated aim of turning farm credit into liquid, qualified financial assets that capital markets can hold. Founded in Brazil with a United States base, its Series B was led by the largest agricultural lender in its home market.

Obin AI builds what it calls an agentic workforce for financial institutions, deploying agents that run defined workflows end to end rather than producing drafts for a person to finish. The platform targets continuous monitoring, underwriting at scale and earlier risk detection across private credit, equity, lending and insurance, and its central design claim is that agents operate inside a firm's own controls and audit boundaries, encode that institution's specific logic and decades of accumulated context, and produce traceable and inspectable outputs. The architecture is described as open and free of lock in, with the enterprise retaining full ownership of the intellectual property. Founded by a former head of artificial intelligence at a major global bank and a former Google executive, it emerged from stealth in March 2026.

Binocs sells AI agents that draft the research and documents a deal team works from. Private equity firms, consulting firms, investment banks and corporate development teams are the core buyers, and a credit memo product serves lenders. The agents are organized like an investment team, and the work runs through three layers. A data layer searches public sources, filings and deal room files, ranks each source and checks material claims against a second one. An analysis layer splits the job into workstreams such as market sizing and the competitive landscape. A review layer uses Binocs' own small language model to check facts, calculations and assumptions at set points before the draft moves on. Outputs include industry reports in about 30 minutes, investment memos and commercial due diligence drafts in about 90 minutes, and sell side CIM drafts in about 45 minutes once financials are in. It also screens and sources deals against a fund's criteria, reads financial documents into standard statements, and writes credit assessment memos with a scored lending recommendation. Industry reports cite their sources, and a chat lets the team flag a weak section and have only that part rewritten. Firms can run it self serve or add Binocs' experts to refine the output, and the first sector report is free. Its terms allow 15 reports per subscription term and charge $500 for each further industry report and $1,000 for each further commercial due diligence report. The subscription itself is not priced publicly. Stout, Kaiser Associates, TemperPack and Vivriti appear among its client logos. Binocs states SOC 2 compliance and hosts on AWS, and says client data trains its in house and open source models only with explicit consent. It contracts as Binocs Labs Inc. in the US and Binocs Labs Private Limited in India, with offices in Jersey City and Bengaluru.

motif supplies AI wealth advice that fintechs, banks, wealth managers, crypto platforms and investment apps build into their own products. It writes cited market updates, portfolio briefings and chat answers for their investors. Its Clarity engine turns news, filings and a platform's own documents into a dated memory of facts and causes. Agents on top handle market insight, investor profiling with MiFID II suitability support, and investment proposals that need approval before they execute. Platforms reach it through a white label app, an embed, or a public API and SDK. motif publishes its evaluation method and dated results. Its agents run by default on GPT 5.6 Luna through OpenRouter. The company is based in Zug and backed by Liminal, a founders' studio founded and backed by Temasek.

Auquan builds autonomous agents for the knowledge work that occupies analysts at asset managers, investment banks, private equity and private credit firms and insurers. Combining an agent architecture with retrieval augmented generation, it takes disorganised inputs spread across incompatible formats, document types and languages and produces finished outputs: investment memos, credit prescreens, responses to requests for proposal, business involvement and know your business screening, sustainability performance reporting and limited partner reporting. Its credit agent is presented as executing private credit workflows end to end. The company positions itself against horizontal generative tools aimed at shallow search and support tasks, targeting instead the multistep work that takes an analyst days.

Reflexivity, formerly Toggle AI, sells an investment analysis platform to institutional investors. Its AI agents write and run code to answer financial questions and produce research. A knowledge graph maps relationships across securities, markets and themes, and document tools read filings and transcripts. Screening, scenario analysis and alerts sit on top. Market data from providers such as S&P Global, LSEG and Nasdaq comes included, with no separate data contracts. Every insight carries its source, and the system says when data is missing or uncertain. Reflexivity powers Interactive Brokers' Investment Themes tool and is available inside Microsoft 365 Copilot. It runs on dedicated private infrastructure and states SOC 2 Type 2. Reflexivity is the trading name of Knabble, Inc.

Vise builds and runs personalized portfolios for registered investment advisers and their clients. Independent advisers, enterprise wealth firms, aggregators and asset managers use it for portfolio construction, tax loss harvesting, rebalancing and trading. The adviser sets each client's strategy, restrictions and tax budget, and Vise's own optimizer builds and manages the portfolio inside those limits. Rebalancing, harvesting and trading run daily on every account, and advisers review and approve changes in batches. It works with custodians such as Schwab, Fidelity and Pershing. Vise names Wealth Enhancement Group, NewEdge Capital and Pure Financial among its users and states more than $140 billion in platform assets. Its advisory arm, Vise AI Advisors, LLC, is registered with the SEC and acts as sub adviser on client accounts. Vise is based in New York.

V7 Go is an agentic document workflow platform from V7 Labs, sold into document heavy industries with private markets, insurance and finance among its named verticals. Its financial services proposition covers the investment lifecycle, with more than 280 prebuilt agents for due diligence, deal screening, investment memos, portfolio reporting, insurance submission ingestion, underwriting triage and know your customer extraction. Users assemble workflows visually without engineering, setting confidence thresholds and routing rules that send uncertain items to human review, and every output carries a citation to its exact location in the source document. The platform routes between models from OpenAI, Anthropic, Google and Microsoft Azure OpenAI, stores data in the European Union and offers private deployment; Star Mountain Capital is among its named customers.

Termina sells quantitative due diligence on demand to venture capital, private equity, corporate development and M&A teams, and to founders. Its scans read a target's financial and transaction data rather than its documents. Scans such as Quality of Growth return findings against benchmarks built from thousands of earlier deals. Teams use it to compare targets, check portfolio companies before follow on decisions and plan value creation, with custom work run by its operators. Developers get a public API with Python and JavaScript SDKs and an MCP server. Termina states more than 1,000 scans a year and SOC 2 Type II, with a trust center on Drata. Termina Systems, Inc. is based in Menlo Park.

ToltIQ, formerly DiligentIQ, sells AI due diligence software to private markets deal teams. It reads virtual data rooms of thousands of documents and links every finding to its source. Deal teams turn firm templates into reusable workflows, run bulk queries across hundreds of documents and share knowledge vaults. ToltIQ runs on models from OpenAI, Anthropic, Google and Cohere under zero data retention, in a single tenant setup that keeps US data in the United States and European data in Dublin. H.I.G. Capital selected ToltIQ for firm wide diligence in March 2026, and it has partnerships with PwC, PitchBook and Intapp. ToltIQ holds SOC 2 Type II and ISO 27001 and is based in New York.

Daloopa extracts and structures fundamental financial data for institutional investors, reading company filings, footnotes, investor presentations and earnings transcripts and delivering the results straight into analysts' models. Coverage runs to more than 5,500 public companies with thirteen years of history, including management defined performance indicators, segment and geographic breakdowns that standardized statement feeds omit. Every datapoint is hyperlinked back to the document it came from, so any figure can be checked against the original in one click. A model context protocol server exposes the same dataset to language models and agents, and the company sells that grounded data to artificial intelligence platforms as well as to hedge funds, mutual funds and investment banks.

Intelligo sells AI due diligence and background checks to asset allocators, private equity, real estate, lending and banking clients. Its Clarity platform screens people and companies and keeps monitoring them. Models search legal, regulatory, media, social, financial and career sources, score each finding for relevance to cut false positives, and flag signs of fraud or financial distress. Clients choose automated reports, Advantage reports that add a human analyst, or continuous monitoring. Intelligo also runs pre employment checks and handles candidate consent and FCRA compliance for them. Carrick Capital Partners has invested in Intelligo. The company has launched an Intelligo Compliance MCP Server and a partnership with RANE.

QuantumStreet AI sells AI driven investment strategies and research to asset allocators, investment managers and banks. Clients either license its AI enhanced indexes and custom portfolios or overlay its forecasts on their own process. Through Indices and Custom Portfolios, a client sets the theme, factors and constraints, and the adaptive AI engine builds a rules based index from them. Recent launches include a long short global equity strategy and a Thematic Rotation Index drawn from themes in company filings. The QuantumEdge platform adds return and risk forecasts with confidence ranges, screening and portfolio diagnostics. The same forecasts are available through APIs and SDKs. QuantumStreet AI states more than $8 billion in client designed indexes and portfolios. It runs on IBM watsonx as an IBM partner. Its privacy policy names EquBot Inc., a Delaware company, as the business behind the services. It is based in San Francisco.

Artificial Labs builds algorithmic placement and underwriting software for the Lloyd's and London specialty and commercial market. The platform ingests and extracts broker submissions, triages complex risks, builds contracts and automates underwriting workflows across legacy systems, and its Smart Follow product reads slip data from the market's digital placement platform and autonomously commits follow capacity within appetite and authority parameters set by a human underwriting director. Buyers are Lloyd's managing agents and syndicates, global carriers and wholesale brokers.

Akur8 sells actuarial software that helps insurers build, file and deploy prices faster. Pricing actuaries use its Transparent Machine Learning to build risk and demand models automatically, with every variable's effect left visible. Akur8 Pricing covers the path from market intelligence to a live rate. Discover searches public rate filings and Rate builds rate plans and filing documentation. Deploy then serves approved rates to policy systems as an external rating engine, with a Guidewire PolicyCenter accelerator on Guidewire Marketplace. Akur8 Reserving is built on Arius, bought from Milliman in 2024. Akur8 Life came with the purchase of Slope Software in March 2026 and models life, annuity and pension business. Expert actuarial agents, launched in September 2026, automate steps inside each pricing module, and an actuary approves each change before it runs. More than 350 insurers in over 40 countries use Akur8, including AXA, Generali and Munich Re. The company was founded in 2018 and is based in Paris. Its investors include One Peak, Partners Group, Guidewire and Milliman.

Rowspace builds AI for credit, private equity and other investment firms that learns a firm's own history and how it decides. It maps the firm's documents, models, research, accounting, trade and cash data so that judgment can be applied to new decisions. It runs inside the customer's own cloud, with the customer's keys and access controls, and delivers answers through chat, dashboards and tools such as Excel. Its pages describe clients by type, such as a credit originator monitoring CLO compliance and a private equity firm drawing on 50 years of deal history. Rowspace states SOC 2 Type II and that customer data never trains anyone else's model. It is based in San Francisco.

Nomerra turns private markets operating procedures into AI agents for asset servicers and asset managers. The agents cover fund accounting, treasury, transfer agency, reporting and data updates. They work across inboxes, bank feeds, fund and bank portals and ERP systems. They triage email, reconcile cash, prepare payments for four eyes release and generate reports. Every session is tracked, and the firm's team approves the deliverables. Nomerra is model agnostic and offers self hosted deployment with the customer's own keys. It states ISO 27001 and raised a $2 million pre seed round led by 14Peaks Capital in June 2026. Nomerra GmbH is based in Berlin.

Vector ML Analytics gives bank and lender finance teams one platform where financial planning sits alongside asset liability management rather than in a separate system, modeling the balance sheet at loan and deposit instrument level across the full trial balance to produce five year projected statements. Its library runs to more than three hundred models across forty asset classes covering budgeting and forecasting, credit models from scorecards through expected loss and stress testing, interest rate risk sensitivity, liquidity planning, capital adequacy and loan pricing, delivered to banks, non bank lenders and debt funds through a platform and a programmatic interface.

DwellFi runs AI agents for fund operations inside the customer's own cloud account. Fund administrators, private equity, hedge and private credit funds, asset managers, family offices and pension funds are the buyers. The agents index a fund's documents and email, then write software for each fund's capital calls, NAV closes, reconciliations and investor reporting. Calculations compile to deterministic code and are cross checked across models from Anthropic, OpenAI and Google. Exceptions go to a human review queue. TMF Group selected DwellFi as a strategic AI partner for fund services in April 2026. Deployment is single tenant on AWS, Google Cloud, Azure or Oracle, in a region set by contract. DwellFi states SOC 2 Type II and operates from Palo Alto, Piscataway and Dubai.

OnFinance AI runs ComplianceOS, a platform of more than seventy agents that monitor regulator portals, interpret circulars at clause level, assign owners, track deadlines, score controls, draft filings and answer questions with citations, aimed at the seventeen to thirty five parallel regulatory workflows a bank, non banking lender, asset manager, broker, exchange or insurer runs at once. It is powered by NeoGPT, a domain specific model fine tuned on more than 300 million tokens of Indian regulatory text, deployed on premise, and the same technology extends to equity research and credit underwriting report generation.

Nammu21 turns syndicated loan and private credit agreements into structured, machine readable data, deconstructing bespoke documents into interoperable digital identifiers through a proprietary loan language index it calls the NEL Protocol. Financial institutions and credit funds use it to extract key provisions, map the connections between them and build programmatic digital security masters, eliminating manual rekeying across legacy loan operating systems. A public database holds more than five thousand syndicated and bilateral loans drawn from filings, and an agent layer is planned on the same protocol.

Cardo AI brings loan level data management, portfolio modeling and predictive analytics to asset based finance and private credit, a market that still runs on spreadsheets and fragmented data despite its scale. It serves the whole value chain, covering banks and non bank originators on the sell side, asset managers and asset owners on the buy side, and the servicers, trustees and fund administrators between them, supporting deal execution, covenant and limit monitoring, risk surveillance and reporting across complex illiquid credit portfolios.

Saphyre replaces the emails, faxes and rekeying behind opening and maintaining trading accounts. Asset owners, investment managers, hedge funds, brokers, custodians and fund accountants share one record of client and account data. Data and documents are stored once and never resubmitted, and each firm's setup is tracked to a ready to trade status. The platform also manages legal agreements, settlement instructions, trade exceptions and FX funding. Aigent, its AI agent, lets counterparties submit details by email or chat without logging in. JPMorgan, BNY Mellon, Northern Trust, BlackRock and Citi are quoted as clients. Saphyre integrates with LSEG's FXall, 360T and DocuSign. It is based in Hoboken, New Jersey.

Boosted.ai builds Alfa, an AI research system that watches companies, portfolios and market events and writes sourced briefs and memos. Its buyers range from individual investors and investment teams to brokerages and developers. Each kind of buyer gets its own product. Alfa Pro sends an analyst a cited brief when earnings, a filing or news hits a name on the watchlist. Alfa Powered lets brokerages embed the research in their own app under their own brand. The Alfa Platform gives developers a financial event bus, prebuilt agents and APIs ready for the Model Context Protocol. A multi model investment committee, announced in August 2026, is offered to select institutional partners. Boosted.ai has built AI for investment research since 2017 and states $5 trillion in client assets supported. Its trust center names OpenAI, Anthropic, Google and Perplexity as model providers and Amazon Web Services as host. It holds SOC 2 Type II and ISO 27001, 27701 and 42001. It is headquartered in New York and Toronto.

DiligenceVault connects the institutions that allocate capital with the fund managers they invest in. It replaces the questionnaires, documents and email that fund due diligence still runs on. Allocators use DV Spark to source managers, run operational due diligence and draft investment committee memos. Managers use DV Pulse to answer questionnaires with AI autofill and to check materials against the SEC marketing rule. The DV Assist assistant drafts and extracts with citations, and the client's team reviews and approves every output. More than 20,000 managers respond on the network, and the company states more than 250 client teams. Plans start at $300 a month. DiligenceVault names ISO 27001, SOC 2 Type II and TX RAMP on Microsoft Azure, and is based in New York.

Mitigram runs a multi bank network for trade finance, connecting more than two hundred multinational corporates, commodity traders and financial institutions to originate and distribute trade finance risk, and handling letters of credit, standby credits, bank guarantees and receivables through their full lifecycle. Models read incoming trade documents into structured data, drive counterparty risk analytics, and power an agent that captures pricing requests buried in bank email chains and drafts replies in the institution's own voice, activated by forwarding a single message rather than through an integration project.

Gridline gives wealth firms one platform for private markets investing. Registered investment advisers, family offices, private banks and fund managers use it for manager diligence, fund formation, subscriptions, administration and reporting under their own brand. Its AltComply product applies AI to manager diligence. Since June 2026 a Hamilton Lane dataset has fed a benchmarking engine that compares managers against peers and vintage year cohorts. A case study reports Keebeck Wealth Management cutting SPV launch time by 50 percent. Its affiliate Gridline Advisors, LLC is a registered investment adviser with the State of Georgia. Gridline is based in Atlanta.

Moment gives wealth firms one platform where AI agents run portfolio work inside a regulated environment. It replaces the patchwork of legacy systems many firms still use. Advisers can build portfolios from plain language instructions and optimize across whole account books. The platform finds tax and risk opportunities, analyzes held away assets from uploaded statements, monitors compliance against each firm's own rules, and routes orders for execution. It started in fixed income and now supports multi asset unified managed accounts. Moment names Edward Jones, LPL Financial and Creative Planning among its users and states more than 60,000 advisers on the platform. Its privacy policy covers Moment Technology, Inc., Moment Advisors LLC and Moment Markets LLC. It is based in New York.

MDOTM builds Sphere, a no code platform that brings AI into an institutional investor's own portfolio process. Banks, insurers, pension funds, family offices, and wealth and asset managers use it in the UK, Europe and the United States. Sphere reads market regimes to form views by asset class, region and sector. Portfolio Studio builds and manages portfolios against each firm's constraints, and StoryFolio drafts portfolio commentary with controlled generative AI. Named clients include UniCredit, Amundi and Sella SGR. MDOTM Ltd is an appointed representative of Thornbridge Investment Management LLP, which the FCA authorizes. It states ISO 27001 and no training on user data. The company was founded in London in 2015 and has offices in Milan and New York.

K1x digitizes the tax documents that private market investments produce. Institutional investors, fund managers and accounting firms use it to receive, create and route Schedule K1s and related forms. K1 Aggregator collects incoming tax documents and extracts the allocation data inside them. K1 Creator produces K1s, and 990 Tracker handles exempt organization reporting. The data flows to tax systems such as CCH Axcess and ONESOURCE, and to the IRS as an approved electronic filing provider. K1x states more than 40,000 organizations on the platform, including 20 of the 25 largest accounting firms. It names a SOC 2 Type II examination with a SafeBase trust center and is based in Morristown, New Jersey.

Samaya AI builds research agents for investment banks, sales and trading desks, hedge funds and asset managers. Its pitch is that in this work, being right matters more than sounding fluent. The agents monitor filings, broker research and social media, write sector reports, build presentations from a firm's own documents and answer complex questions with cited evidence. They run on Samaya's own finance language models combined with frontier models. Morgan Stanley is a named customer across research, sales and trading, and banking, and Samaya states more than 10,000 seats. It states SOC 2 compliance and offers virtual private cloud and on premise compatible deployment. Its founders came from Google Brain and Stanford.

KelAI runs the whole systematic investment research loop autonomously for hedge funds and institutional investors, taking idea generation through data analysis, backtesting, signal validation, live monitoring and portfolio manager feedback inside one agentic platform that connects to a fund's own data, mandate, universe, risk rules and research history. Its argument is that research capacity has always scaled with headcount, so agents that test hypotheses continuously break the constraint, and the company states that portfolio managers keep the portfolio and own the decisions.

Keye automates the financial diligence that private equity and private credit teams run on a target company. It takes raw deal files in any format and returns structured analysis a deal team can use. Models read and structure the data, and deterministic pipelines do the arithmetic, so every figure links back to its source. Outputs include cohort and margin analysis and anomaly detection, exported to Excel with live formulas. Keye states that funds managing more than $1.4 trillion use it and that it saves more than five days per deal. It promises zero data retention and no training on customer data, and names a SOC 2 Type 2 examination. Keye, Inc. is based in New York.

Model ML builds an AI workspace and finance agent for investment banks, private equity firms, asset managers, and large accounting and consulting firms. It produces client ready documents, spreadsheets and decks in each firm's house format. The agent works inside Excel, PowerPoint and Outlook and can run on a schedule or when an event occurs. It reads email, filings, CRM records and data from providers such as S&P Capital IQ and FactSet, using models from OpenAI, Anthropic and Google. Named users include HSBC, Santander and Deloitte. Model ML offers self hosted, single tenant and hybrid deployment, states ISO 27001 and SOC 2 Type II, and commits never to train its models on customer data. It has offices in New York, San Francisco, London and Hong Kong.

Transient.AI builds AI associates for trading desks and investment firms. Hedge funds, asset managers, fund managers and banks deploy them inside their own tenant to run governed workflows. Its Caddie.AI associate supports the trading lifecycle, from telling sales desks who to call through trade management and back office work. It also digests sell side research, surfaces trade ideas and parses term sheets. The company's Declarative Agentic Framework governs the agents with declared data, rules and models, deterministic guardrails, real time oversight and zero external data retention. Transient.AI closed a Series A led by NEXT Investors, with Nasdaq Ventures participating, in September 2026. It uses Arango for data infrastructure and works with Atyeti as a deployment partner. It is headquartered in New York.

Hebbia sells AI research and document analysis to investment firms, banks and law firms. Matrix runs the same questions across hundreds of documents in a grid, with companies as rows and questions as columns, and Matrix 2.0 carries the analysis through to memos, decks and models, with a checkpoint for a person to sign off. Max, rebuilt in July 2026, is an assistant whose agents can run on their own to produce decks, Excel models and documents. Answers trace back to the source passage. Sources range from SEC filings and FactSet, PitchBook and S&P Global data to a firm's own SharePoint, Box and data rooms. Its subprocessor list names OpenAI, Anthropic, Google and Microsoft for models, running on AWS in US and EU regions. Founded in 2020 and based in New York, Hebbia counts Morgan Stanley, Centerview Partners, MetLife and OHA among its customers. It lists SOC 2 Type 2, ISO 27001 and ISO/IEC 42001, and says customer data never trains its general models or any model provider's.

Clearwater Analytics runs a cloud native investment management platform for institutional investors, unifying portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance and risk analytics in a single system supporting more than $10 trillion in assets. Its distinguishing architecture is single instance and multi tenant, meaning every client sits on one version above one validated data foundation, and generative and agentic AI are embedded across that foundation rather than sold as a separate module. The platform widened substantially through three acquisitions completed in 2025, all confirmed in the company's own securities filings. Enfusion, a listed provider of software to investment managers and hedge funds, closed in April at a value of roughly $1.5 billion and brought front office capability the company previously lacked: portfolio and order management and an investment book of record, now joined to the existing middle and back office and client reporting lines to form a front to back platform. Beacon, an enterprise risk analytics and technology infrastructure provider, closed in the same month. An asset purchase of a portfolio visualization platform built inside a large alternative asset manager closed in March and added analytics and data infrastructure for private and structured credit. The combined business is served from hubs including Boise, New York, Edinburgh and New Delhi.

Rogo is an AI research and analysis platform for investment banks, private equity firms and investors. Analysts ask questions in plain language and get cited answers drawn from filings, transcripts, market and deal data, and the firm's own documents. Its agent, Felix, carries deal work from start to finish, producing Excel models, investment memos, diligence materials and slide decks. Data comes from providers such as S&P Global, FactSet and Crunchbase, and the platform runs on OpenAI models. Rogo states more than 50,000 bankers and investors at more than 350 institutions, and quotes executives at Truist Securities, Nomura and Baird. Its security page says customer data sits in siloed environments and never trains its models, and lists SOC 2 and ISO 27001. Rogo Technologies, Inc. is based in New York.