Introducing ChatGPT for Financial Services
Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.
Introducing ChatGPT for Financial Services
Frontier intelligence, built for financial services.
Contact financial services sales
Frontier research, shaped by financial expertise
Data is the foundation of all financial analysis
Premium financial data, ready to use
Access through your firm’s existing subscriptions
More reliable connections to financial providers
Put GPT-6 Astra to work on financial analysis
Turn the analysis into work your team can use
Work with security and governance you can trust
Expanding what the industry can achieve
We’re introducing ChatGPT for Financial Services, a tailored ChatGPT Work experience that combines built-in financial data with GPT‑6 Astra’s reasoning to help teams develop research, financial models, and customized client materials.
This product has been shaped by our design partnership with Morgan Stanley and Evercore. The collaboration has enabled us to pinpoint where OpenAI can solve the biggest challenges for financial institutions and has guided us on the solutions that will help every banker in their day-to-day work.
Built-in premium data from providers like Daloopa, PitchBook, LSEG News, and Crunchbase remove the challenges with MCP connectors and access to data. This data is indexed and hosted by OpenAI to enable higher accuracy and new features like granular citations so that bankers can trace figures and claims back to their sources, and check the evidence as their analysis develops.
The product also offers state of the art frontier intelligence, including GPT‑6 Astra, natively and will continue to have newer models available out of the box as they are released. Firms can also centrally manage access and data connections, supported by ChatGPT’s enterprise security and governance controls.
Value analysisLBO ModellingBuyer screeningEarnings analysisPitchbook preparation
Our early work with Morgan Stanley and Evercore has helped steer where we have started: investment banking and equity research. Reliable access to data and high quality artifact creation proved to be the biggest pain points for their teams. Our work with partners will inform post training, product improvements, and our expansion into other financial services categories.
“The promise of frontier research becomes real when it helps our people do the work that matters for our clients. We’re working alongside OpenAI to bring that intelligence into how we research companies, develop analysis, and prepare advice. We can test ideas together and help shape how the technology develops. For our firm, that means a product increasingly informed by our people, our methods, and the work that matters to our clients.”
“At Evercore, we focus on the questions that matter most to our clients, and we have an opportunity to apply frontier intelligence to help address them. We are working closely with OpenAI to shape how its technology can deepen the insights behind our advice, while building on the judgment and rigorous standards our clients expect from Evercore.”
ChatGPT for Financial Services brings together the financial data teams need, with the depth of detail expected. We’ve included premium financial data, streamlined existing provider connections, and improved MCP performance.
ChatGPT for Financial Services brings together built-in data, connected sources, and financial analysis workflows.
ChatGPT for Financial Services includes datasets from providers like Daloopa, PitchBook, LSEG News and Crunchbase covering earnings transcripts, financial statements, company fundamentals, private companies, and more.
Teams can start working with these datasets immediately, with no separate contracts to negotiate or connectors to set up. We index and host this data on OpenAI infrastructure, allowing us to improve retrieval, latency, and how we surface it in the product experience.
For a banker running a P&L normalization analysis, that means being able to inspect the reconciliation and notes behind an adjusted EBITDA, understanding which costs were excluded, and deciding how to use it in a valuation.
Our partners are central to this work and as we expand coverage, we will continue to deepen our models’ understanding of these datasets. We will post train our models to find, interpret, and use this data like we know the best analysts can.
Trace figures and claims to specific tables and passages, with the supporting information highlighted for review.
“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. Now, Crunchbase’s structured private company data, covering companies, funding, investors, and acquisitions and continuously updated and verified, will be at the fingertips of financial teams using ChatGPT. With Crunchbase data, financial teams can move from questions to meaningful insight much faster.”
Jager McConnell, CEO of Crunchbase
“We are excited to be selected as one of the native data partners for OpenAI for Financial Services. This continues our strategy of being the data infrastructure for AI and agentic workflows in financial services. Partnering with OpenAI is a tremendous opportunity to expand access to best-in-class fundamental data and put accurate financials directly into the hands of investors where they're already working.”
“The private markets have always been difficult to see into, and getting a clear picture means piecing together data scattered across the market. PitchBook has spent nearly two decades closing that gap with data and insights that investors can rely on. Partnering with OpenAI is a sign of where this industry is headed: toward answers built on trusted data, not just speed.”
Tom Van Buskirk, Executive Vice President of Technology and Engineering, PitchBook
We know many customers already have existing data subscriptions. So we’re working with S&P Capital IQ, LSEG, MSCI, Dow Jones Factiva, and Moody’s on shared sign-in and entitlement integrations. Providers will be able to recognize users through their ChatGPT sign-in to enable automatic access to data they’re already entitled to.
“Trusted data is the foundation every AI workflow is built on. Bringing the S&P Global AI Data Portal to ChatGPT gives financial professionals the full breadth of our verified intelligence, from financials and transcripts to market and energy data, right where they're already working. We're proud to collaborate with OpenAI to deliver Adaptive and Deterministic Retrieval through ChatGPT for Financial Services.”
Sally Moore, Chief Client Officer and Co-Head of Market Intelligence, Kensho Data & Platforms at S&P Global
“Our collaboration with OpenAI advances our LSEG Everywhere AI strategy. With MCP connectivity and a curated Reuters news selection, we’re focused on making LSEG’s trusted, licensed content and analytics available to customers wherever they want to work.”
Emily Prince, Group Head of Enterprise AI, LSEG
It can be challenging to effectively use MCP connectors for data providers. We have focused on making some of the most used MCPs in financial services optimized for immediate use in the product, so teams can spend less time troubleshooting requests and more time on analysis.
Our broader connector ecosystem includes over 50+ connectors including Datasite, Box, Preqin, FactSet and Intapp.
Put GPT‑6 Astra to work on financial analysis
GPT‑6 Astra is state of the art across three of the core capabilities required for financial services work: information retrieval, financial reasoning, and artifact generation.
It can navigate and understand figures, tables, and the supporting notes in financial documents. It can take inputs, run financial analysis, and draw conclusions. And it can take all of this work and accurately synthesize it into documents, spreadsheets, and slides.
OfficeQA ProBoxBenchProfessional slide creation
We’ve built fundamental capabilities into the product so that it can res