The Pulse
OpenAI launches ChatGPT for Financial Services with built-in data
OpenAI has introduced ChatGPT for Financial Services, a tailored enterprise product for financial research, modeling and client materials. The service combines GPT-6 Astra with data from providers including Daloopa, PitchBook, LSEG News and
AI.info Team ·
“The value of financial research depends on the quality of its inputs, but reliable private market data can be difficult to find and validate from public sources.”
Jager McConnell, chief executive, Crunchbase
OpenAI is taking ChatGPT directly into investment banking and equity research with a new enterprise product that combines its GPT-6 Astra model with built-in financial datasets, analysis tools and firm-specific document templates.
Called ChatGPT for Financial Services, the service is designed to help teams produce research, financial models and customized client materials. OpenAI announced it on September 10, 2026, and says the product is available to eligible financial institutions through its sales and account teams.
OpenAI targets investment banking and equity research first
The company says the product was shaped through design partnerships with Morgan Stanley and Evercore. That early work focused on two problems: giving analysts dependable access to financial information and turning analysis into documents that match a firm’s established working style.
OpenAI says those partnerships helped determine the initial focus on investment banking and equity research. The product is intended for tasks such as company research, earnings analysis, value analysis, leveraged buyout modeling, buyer screening and pitchbook preparation.
Morgan Stanley and Evercore did not receive named individual attribution in OpenAI’s announcement, but both firms supplied statements describing their work with OpenAI. Morgan Stanley said the collaboration is aimed at bringing AI into company research, analysis and advice while keeping the product informed by the firm’s methods and client work.
Daloopa, PitchBook and LSEG data arrive inside the workspace
ChatGPT for Financial Services includes data from Daloopa, PitchBook, LSEG News and Crunchbase. OpenAI says the datasets cover earnings-call transcripts, financial statements, company fundamentals, private companies, funding activity and other material used in financial research.
The company says it indexes and hosts the included data on its own infrastructure. That approach is intended to reduce the setup work involved in connecting separate data services and to support source-level citations that link figures and claims to specific tables and passages.
OpenAI is also working on shared sign-in and entitlement integrations with S&P Capital IQ, LSEG, MSCI, Dow Jones Factiva and Moody’s. The goal is to let users access information covered by their existing subscriptions through their ChatGPT sign-in rather than recreate every connection inside a new workspace.
The service’s terms show that data access still comes with provider-specific restrictions. Daloopa data carries a 24-hour delay, while Nasdaq market data supplied through the service is delayed by at least 15 minutes. OpenAI also says users must follow limits on copying, downloading, redistribution and model training imposed by individual data partners.
GPT-6 Astra turns research into models and pitchbooks
OpenAI positions GPT-6 Astra around three capabilities it says matter most for financial work: retrieving information, reasoning over financial documents and producing business artifacts. The model can work with figures, tables and supporting notes, then synthesize the results into documents, spreadsheets and presentations.
The product includes research workflows that compare company performance across periods, interpret annotations in public filings and generate interactive charts with supporting sources available for review. OpenAI also says teams can inspect the reconciliation and notes behind adjusted EBITDA figures during a profit-and-loss normalization analysis.
Administrators can publish Excel, Word and PowerPoint templates through a dedicated management page. Firms can add their own templates and style guides so teams can convert analysis into valuation models, research notes and pitchbooks without starting from a blank document.
OpenAI reports that GPT-6 Astra scores 69.9% on its OfficeQA Pro benchmark, compared with 60.2% for GPT-5.6 Sol. The company describes OfficeQA Pro as a test of whether AI systems can find and analyze information across U.S. Treasury bulletins, including complex tables, charts and footnotes.
Enterprise controls cover sensitive financial work
OpenAI is carrying over enterprise controls that financial institutions typically require for confidential work. The product supports SAML single sign-on, SCIM provisioning and role-based access controls, while business data is not used to train OpenAI’s models by default.
Data is encrypted in transit and at rest, and administrators can configure workspace retention. Compliance teams can export supported logs through OpenAI’s Compliance Platform for audit and investigation workflows.
Firms can also manage access to applications and skills by role, enable or disable supported read and write actions, and create multiple workspaces to enforce information barriers. Those controls are intended to separate teams and restrict how connected data and applications are used.
OpenAI limits the product’s role to information and analysis
OpenAI’s financial services terms state that the product provides information and tools for financial research and analysis, not financial or investment advice. The company warns that data and outputs can be inaccurate, incomplete, delayed or out of date, and says users remain responsible for decisions made with the service.
That language places ChatGPT for Financial Services closer to an analyst workstation than an automated adviser. The product can retrieve licensed information, perform calculations and create working documents, but OpenAI tells users to review sources, dates and calculations before relying on the results.
The launch gives OpenAI a specialized offering for institutions that already spend heavily on market-data subscriptions, analyst workflows and document production. Its initial customers will have to judge whether built-in data, source tracing and firm templates save enough time to justify adding another system to tightly controlled financial operations.