Directory of AI vendors for trading and post trade technology

BlackRock Aladdin is the technology arm of the world's largest asset manager, and it is graded here on the product rather than the parent under the services hybrid rule. 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 summarisation 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.

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 ten trillion dollars 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 dollars 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, prioritises 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.

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 behaviour, 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, 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 behaviour and a Sales Advisor, both live at clients including the Moroccan credit firm SOFAC.

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 line is unusual for this index in kind rather than degree: rather than applying models to a judgement 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 licence through vendor managed MXSaaS, upgrade as a service and a BPaaS managed offering. A separate digital asset line covers tokenised deposits and digital bond settlement through an integration with Quant Network.

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 recognised 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 behavioural and machine learning models can be built, validated and deployed inside a governance framework, with the option to customise the firm's quantitative libraries or write internal methodologies in Python; a published model validation framework for AI based models organised 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 enquiry; 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 authorised 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.

Saphyre digitises the pre-trade and post-trade data that moves between asset owners, investment managers, hedge funds, prime brokers, broker dealers and custodians, replacing the faxes, emails and rekeying that still govern account opening. Its patented technology maintains memory of data and documents so a firm never resubmits information, structures it for any permissioned counterparty to consume, and tracks customer due diligence, tax, credit, legal and operational setup to a real time ready to trade status. An email based agent now lets a broker or client start a full fund onboarding without a portal or form.

Transient.AI builds what it calls a declarative AI operating system for capital markets, unifying fragmented front, middle and back office systems into one intelligence layer for hedge funds, asset managers, investment banks and advisory firms. Its modules cover predictive institutional sales intelligence telling desks who to call and what to discuss, an analyst agent surfacing trade opportunities, automated digestion of sell side research, portfolio, risk and profit and loss insight, term sheet parsing and operational workflow automation, delivered through a desktop and mobile cockpit designed around auditability and compliance.