Directory of market data and reference data providers using AI
The AI FinTech Index holds 11 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 2026-08-24 across 490 indexed vendors. What moved is in the change log.
These are the suppliers other products in the index are built on top of, so the licensing question runs two ways: what you are permitted to do with the data, and what the vendor is permitted to do with yours.
What is in this directory. Screened to vendors whose product is the data itself. Platforms that read licensed data on your behalf sit in the research directory.
Part of the wider Capital Markets & Research AI category.
What the public record shows in this directory
The share of the 11 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.
Every vendor in this segment produces a number about a company or an asset that is not its customer, does not know it is being measured, and did not ask to be. A classification decides index inclusion and the flows that follow it. A climate score moves a credit spread and an insurability decision. A sustainability rating shapes a cost of capital. The party repriced by all of that is the only party involved with no commercial relationship to the vendor. Where a correction route exists it is not evenly available: MSCI operates an issuer communications portal giving rated companies access to their own reports and a data review process to comment on accuracy, and the other large incumbents run comparable channels, but that access tracks how large the measured company is rather than how consequential the number is, and nothing equivalent reaches a private company, a physical asset or a smaller issuer. This is also where the law is arriving first. From 2 July 2026, Regulation (EU) 2024/3005 places ESG rating providers under the direct supervision of the European Securities and Markets Authority, requiring methodology disclosure and conflict of interest management, with providers already operating in the Union required to notify ESMA by 2 August 2026 and to apply for authorisation or recognition within four months. It reaches the ESG rating part of this segment and not classification, climate modelling or fundamental data extraction. Ask any vendor here what happens when the measured party says the number is wrong.
The AI FinTech Index lists 11 market data and reference data providers using AI, 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 82 percent, and the thinnest is security certification depth at 0 percent, which is 41 highest of 50 directories in the index on that question. Across the whole index of 490 vendors, none documents all nine regulatory axes in public and the average documents 2.94.
Every vendor in this segment produces a number about a company or an asset that is not its customer, does not know it is being measured, and did not ask to be. A classification decides index inclusion and the flows that follow it. A climate score moves a credit spread and an insurability decision. A sustainability rating shapes a cost of capital. The party repriced by all of that is the only party involved with no commercial relationship to the vendor. Where a correction route exists it is not evenly available: MSCI operates an issuer communications portal giving rated companies access to their own reports and a data review process to comment on accuracy, and the other large incumbents run comparable channels, but that access tracks how large the measured company is rather than how consequential the number is, and nothing equivalent reaches a private company, a physical asset or a smaller issuer. This is also where the law is arriving first. From 2 July 2026, Regulation (EU) 2024/3005 places ESG rating providers under the direct supervision of the European Securities and Markets Authority, requiring methodology disclosure and conflict of interest management, with providers already operating in the Union required to notify ESMA by 2 August 2026 and to apply for authorisation or recognition within four months. It reaches the ESG rating part of this segment and not classification, climate modelling or fundamental data extraction. Ask any vendor here what happens when the measured party says the number is wrong.
Source: AI FinTech Index, August 2026
| Vendor | Category | AI Centrality | Website |
|---|---|---|---|
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B
Bloomberg
Bloomberg is a privately held New York financial data, news and technology company founded in 1981, scoped in this record to the Terminal, data and analytics business. The Terminal has more than 325,000 subscribers worldwide and carries a research library of over 200 million company documents alongside thousands of news stories a day and its own Bloomberg Intelligence research. Beyond the Terminal the company runs order and trade management systems for the buy side and sell side, communications and compliance archiving, market data feeds and security identifier services. Its generative line began with BloombergGPT, a 50.6 billion parameter decoder only language model built from scratch for finance and released in March 2023 with a full technical paper: 70 transformer layers, 40 attention heads, a dimension of 7,680, and a 709 billion token corpus split roughly evenly between the firm's own four decade financial archive and public sources, trained on 512 Nvidia accelerators over 53 days. Shipped products include AI powered News Summaries, AI powered Earnings Call Summaries, AI powered Document Insights, Document Search and Analysis for natural language questions across filings, transcripts, news and third party analyst research with customer internal content connectable alongside it, and ASKB, an agentic interface launched February 2026 for querying Terminal data in plain language. Bloomberg Intelligence analysts were used to train the generative models against the firm's own guardrail systems.
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Capital Markets & Research AI | C | bloomberg.com |
|
B
BlueOnion
Hong Kong sustainability analytics platform for banks, asset and wealth managers, institutional investors and fund gatekeepers, built around the greenwashing and sustainable product distribution problem. BlueConnect is a cloud terminal covering screening, scenario simulation, portfolio construction and monitoring, with AI driven predictive analytics and anomaly detection, generating company ESG, fund ESG, PCAF carbon and principal adverse impact reports on demand. A separate digitised workflow product runs gatekeeper due diligence and fund onboarding from screening through RFP to document signing. Aligned to EU SFDR and to Hong Kong Monetary Authority expectations on the sale and distribution of sustainable investment products, with fund coverage extended through a named data collaboration with Morningstar Sustainalytics.
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Capital Markets & Research AI | B | blueonion.today |
|
D
Daloopa
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 standardised 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.
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Capital Markets & Research AI | A | daloopa.com |
|
F
FactSet
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 customised 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.
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Capital Markets & Research AI | C | factset.com |
|
I
Intensel
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 metre to ninety metres across more than ten hazards under six international climate scenarios out to 2100. Adaptation modelling 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.
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Capital Markets & Research AI | B | intensel.net |
|
L
LSEG
LSEG is a London headquartered global markets infrastructure and financial data group, scoped in this record to its Data and Analytics division, formed through the 2021 acquisition of Refinitiv and separate from the group's exchange, clearing and index administration businesses. Its flagship platform is LSEG Workspace, serving more than 350,000 users across over 1,000 applications over a data estate of some 33 petabytes, alongside LSEG Financial Analytics and the Risk Intelligence screening content used in financial crime compliance. The generative line runs through a multi year strategic partnership with Microsoft, including a ten year cloud commitment reported at 2.3 billion pounds, with Microsoft AI integrated natively inside Workspace. Company Intelligence is a shipped agent inside Workspace that assembles a structured company briefing covering share price performance, key financials, peer comparisons, analyst research, deals, corporate events and ownership, with native Microsoft Teams support announced as forthcoming. In October 2025 the group launched an LSEG managed interoperability protocol server so customers can build agents in Microsoft Copilot Studio and deploy them in Microsoft 365 Copilot against LSEG licensed data, reaching Teams and Excel and embeddable in a client's own platform. A separate partnership routes LSEG fundamentals, estimates and a merger database covering more than 1.5 million transactions into Rogo. A further phase allowing firms to combine their own proprietary data with LSEG datasets is announced but not shipped.
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Capital Markets & Research AI | C | lseg.com |
|
M
MioTech
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.
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Capital Markets & Research AI | A | miotech.com |
|
M
Morningstar
Morningstar is a Chicago investment research and data company founded in 1984, scoped in this record to its data, research and advisor software business rather than to 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.
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Wealth & Advisory AI | C | morningstar.com |
|
M
MSCI
MSCI is a New York provider of indexes, risk analytics, ESG research and private capital data to the global investment community, scoped in this record to its data and analytics business rather than to its index administration arm. Its quantitative estate is the industry reference for factor and risk modelling, 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.
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Capital Markets & Research AI | C | msci.com |
|
S
S&P Global Market Intelligence
S&P Global Market Intelligence is the data, analytics and enterprise software division of S&P Global, scoped here at division level and separated from S&P Global Ratings, S&P Dow Jones Indices, Commodity Insights and Mobility. Its flagship platform is S&P Capital IQ Pro, covering 109,000 public companies, 60 million private companies, 110,000 private equity and venture funds, 200 million Visible Alpha estimate data points contributed by more than 200 brokers, 29 million fixed income securities, 1.6 million loan facilities and country risk across 236 territories. Alongside the platform it runs enterprise software and managed services including securities processing, corporate actions, loan portfolio management, tax and trade and transaction reporting. The generative line is developed largely with Kensho, the group's AI centre acquired in 2018, and includes ChatIQ, an assistant trained on the platform's own tabular and textual corpus and built around click through to source data with traceability in answers; Document Intelligence and its multi document successor, covering filings, transcripts, investor presentations, news and research; Chart Explainer; AI powered search with sentiment scoring, key phrase search and transcript summarisation; Earnings IQ Alerts; natural language screening that converts a plain question into screening criteria; and generative intraday newsletters. The division publishes a dedicated artificial intelligence hub with separate buy side, sell side, corporate and professional services pages, a solutions directory, and material for partners and developers.
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Capital Markets & Research AI | C | spglobal.com |
|
T
Theia Insights
Theia Insights replaces the static industry classification systems financial markets have used for decades with a continuously updated, multidimensional map of what companies actually do. Rather than assigning a single sector label that can persist unchanged as a business transforms, its models read regulatory filings, earnings transcripts, press releases and financial statements to express a company as percentage exposures across several themes at once, with the weightings shifting automatically as new information arrives. The stack combines natural language processing, quantitative modelling and a knowledge graph, and the resulting layer is sold to index providers, asset managers, hedge funds, banks and platforms as shared infrastructure for research, portfolio construction and risk, explicitly intended to be consumed by AI systems as well as by people.
|
Capital Markets & Research AI | A | theia-insights.com |
Common questions
Is there a directory of market data and reference data providers using AI?
Yes. The AI FinTech Index lists 11 market data and reference data providers using AI, 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 2026-08-24.
What counts as market data and reference providers in this directory?
Screened to vendors whose product is the data itself. Platforms that read licensed data on your behalf sit in the research directory. The index holds 11 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 market data and reference providers vendors?
Start with what this segment does not publish. Across the 11 indexed vendors, the thinnest parts of the public record are security certification depth at 0 percent, deployment model and data residency at 9 percent, and liability and customer recourse at 9 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. These are the suppliers other products in the index are built on top of, so the licensing question runs two ways: what you are permitted to do with the data, and what the vendor is permitted to do with yours.
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.