Directory of AI deal diligence and document intelligence vendors
The AI FinTech Index holds 16 of them, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record.
No vendor pays for inclusion, placement or rating. Counts generated 2026-10-20 across 610 indexed vendors. What moved is in the change log.
The failure that matters is omission rather than error: a diligence summary that silently drops the document establishing the risk changes the outcome of a transaction. Ask what the system does with a document it cannot parse, and whether that appears in the output or only in a log.
What is in this directory. Screened to products used to assess a specific transaction or manager. Ongoing portfolio monitoring and fund administration are held separately.
Part of the wider Capital Markets & Research AI category.
What the public record shows in this directory
The share of the 16 indexed vendors here whose public record answers each of the nine regulatory questions a financial institution diligence process works through, and where this directory ranks against the other 50 directories in the index on the same question, highest share first. A thin share means the public record is thin, not that a control is absent.
These products read the documents behind nine figure commitments, and on what happens when the reading is wrong, this segment has a ceiling. No vendor reaches the top band on liability and recourse. The best anyone manages is the second band, and the three that get there all arrive the same way, by building traceability that makes an error findable during review rather than by accepting any consequence for it: a verifier class at one, closed loop grounding at another, buyer set confidence thresholds at the third. The path beyond exists and is not taken. Not one member of this segment publishes an error rate for its own reading, warrants any output, or describes what it owes a client when a misread term has already shaped a price. That matters more here than the grade suggests, because the failure mode in this work is omission rather than error: a summary that silently drops the document establishing the risk looks complete. Ask any vendor here two questions. What is your measured extraction error rate, and what happens when you are wrong.
The AI FinTech Index lists 16 AI deal diligence and document intelligence vendors, graded on 15 capability axes from public sources with no paid placement and no aggregate score. Across this directory the best documented part of the public record is how much the system decides on its own at 88 percent, and the thinnest is AI governance and bias testing at 0 percent, which is 34 highest of 50 directories in the index on that question. Across the whole index of 610 vendors, none documents all nine regulatory axes in public and the average documents 3.61.
These products read the documents behind nine figure commitments, and on what happens when the reading is wrong, this segment has a ceiling. No vendor reaches the top band on liability and recourse. The best anyone manages is the second band, and the three that get there all arrive the same way, by building traceability that makes an error findable during review rather than by accepting any consequence for it: a verifier class at one, closed loop grounding at another, buyer set confidence thresholds at the third. The path beyond exists and is not taken. Not one member of this segment publishes an error rate for its own reading, warrants any output, or describes what it owes a client when a misread term has already shaped a price. That matters more here than the grade suggests, because the failure mode in this work is omission rather than error: a summary that silently drops the document establishing the risk looks complete. Ask any vendor here two questions. What is your measured extraction error rate, and what happens when you are wrong.
Source: AI FinTech Index, August 2026
| Vendor | Category | AI Centrality | Website |
|---|---|---|---|
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C
Capsa AI
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.
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Capital Markets & Research AI | A | capsa.ai |
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C
CENTRL
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.
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Capital Markets & Research AI | B | centrl.ai |
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C
Claira
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.
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Capital Markets & Research AI | A | claira.io |
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C
Clarum
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.
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Capital Markets & Research AI | A | clarum.ai |
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C
Cognaize
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.
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Capital Markets & Research AI | A | cognaize.com |
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C
Cyndx
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.
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Capital Markets & Research AI | A | cyndx.com |
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D
Dasseti
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.
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Capital Markets & Research AI | B | dasseti.com |
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E
Ezra
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.
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Capital Markets & Research AI | A | ezra.finance |
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F
F2
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.
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Capital Markets & Research AI | A | f2.ai |
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G
Gain
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.
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Capital Markets & Research AI | B | gain.ai |
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K
Keye
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.
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Capital Markets & Research AI | A | keye.co |
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K
Kruncher
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.
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Capital Markets & Research AI | A | kruncher.ai |
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P
Pactio
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.
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Capital Markets & Research AI | C | pactio.io |
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T
Termina
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.
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Capital Markets & Research AI | A | termina.ai |
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T
ToltIQ
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.
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Capital Markets & Research AI | A | toltiq.com |
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V
V7 Go
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.
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Capital Markets & Research AI | A | v7labs.com |
Common questions
Is there a directory of AI deal diligence and document intelligence vendors?
Yes. The AI FinTech Index lists 16 AI deal diligence and document intelligence vendors, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record. No vendor pays for inclusion, placement or rating, no vendor is contacted before it is listed, and nothing sits behind a form. Counts generated 2026-10-20.
What counts as deal diligence and document intelligence in this directory?
Screened to products used to assess a specific transaction or manager. Ongoing portfolio monitoring and fund administration are held separately. The index holds 16 vendors meeting that screen, drawn from a wider Capital Markets & Research AI category and from adjacent categories where the vendor belongs on the same shortlist. A vendor filed under a different category can still appear here, because a buyer building this shortlist does not sort by our filing.
What should a buyer check before shortlisting deal diligence and document intelligence vendors?
Start with what this segment does not publish. Across the 16 indexed vendors, the thinnest parts of the public record are AI governance and bias testing at 0 percent, regulatory status and licensure at 0 percent, and liability and customer recourse at 13 percent. A thin public record predicts the length of a diligence process rather than the absence of a control, so these are the questions to put in writing early. The failure that matters is omission rather than error: a diligence summary that silently drops the document establishing the risk changes the outcome of a transaction. Ask what the system does with a document it cannot parse, and whether that appears in the output or only in a log.
Comparisons inside this directory
Other directories in Capital Markets & Research AI
One category is several buying decisions sharing a label. Each of these narrows the same market to a different one.