PitchBook, a financial data and software company specializing in private and public equity markets, has announced new partnerships with leading large language model (LLM) and AI-powered platforms: Anthropic, Perplexity, Rogo, and Hebbia. These collaborations are designed to embed PitchBook’s comprehensive private capital market data directly into AI-driven workflows utilized by professionals in finance and strategy.
This initiative by PitchBook aims to enhance the accessibility, discoverability, and usability of its private capital market intelligence within established AI tools, meeting users within their existing work environments. Specific integrations include:
* **Anthropic:** Its new offering, Claude for Financial Services, provides a generative AI solution built for financial professionals, featuring integrated PitchBook data.
* **Perplexity:** This partnership enables users to access PitchBook data for accurate and reliable answers to financial queries.
* **Hebbia:** The integration allows financial professionals to streamline workflows and make investment decisions by leveraging AI to retrieve and analyze data from multiple sources, including PitchBook.
* **Rogo:** PitchBook’s data is integrated into dynamic financial models and investment research interfaces.
Nicholas Lin, Product Lead for Claude for Financial Services at Anthropic, stated, “Claude for Financial Services is a transformative approach to financial analysis, unifying the most important data sources and advanced AI capabilities within a single, intelligent platform.” He added that PitchBook was a natural partner, providing trusted private capital market data, which enhances depth and reliability for complex workflows, especially during critical market events or deal deadlines.
Emily Jorgens, Head of Enterprise Partnerships at Perplexity, commented, “Our mission is to provide high-quality answers that people can trust, especially when navigating complex topics.” She noted that Perplexity chose to partner with PitchBook due to their shared values in providing trustworthy, accurate information, which offers customers meaningful depth in their financial queries.
These integrations allow users to conduct research and uncover insights powered by PitchBook’s proprietary data alongside other trusted sources, all within familiar AI environments. This eliminates the need to switch between platforms, facilitating more efficient and contextualized analysis for financial professionals.
Seth Sprinkle, Global Director of Direct Data at PitchBook, explained, “At PitchBook, we believe LLMs are powerful tools for expanding how and where people consume data.” He emphasized the importance of delivering trustworthy data in the places users are already searching and analyzing, particularly as private capital markets evolve and investor access expands. By offering seamless data access across these LLM providers, PitchBook aims to create interconnected and comprehensive decision-making ecosystems.
PitchBook’s artificial intelligence and machine learning (AI/ML) roadmap follows a dual strategy: first, enhancing its platform experience with features that improve the speed and efficacy of user engagement with PitchBook’s data, research, and insights (e.g., VC Exit Predictor); and second, integrating with leading LLM providers to offer customers broad AI experiences grounded in PitchBook’s data. The company plans to release several innovations throughout 2025 designed to transform how financial professionals engage with PitchBook’s data, making it faster, more intuitive, and highly relevant.
Key benefits of PitchBook’s LLM and AI strategy include seamless workflow integration with tools like Perplexity, Hebbia, and Rogo; enhanced data discoverability through tailored, actionable insights based on user context and queries; and robust security and privacy safeguards to ensure proprietary client data remains separate and protected.
Tom Van Buskirk, EVP of Technology and Engineering at PitchBook, affirmed that the quality of generative AI search results depends on the underlying data. He stated, “With PitchBook’s best-in-class data, AI and ML tools can distill vast amounts of data into highly relevant, actionable insights that are tailored to the user’s specific needs, helping them uncover valuable trends and opportunities quickly.” PitchBook is investing significantly in new innovations and partnerships with key AI players to build the next generation of private market intelligence that is connected, trusted, and available where users work.
PitchBook, founded in 2007, is a financial data and software company that provides transparency into capital markets to assist professionals in discovering and executing opportunities with confidence and efficiency. The company collects and analyzes detailed data across private and public markets, including venture capital, private equity, leveraged loans, private credit, real estate, and more. PitchBook’s data and analysis are accessible through its PitchBook Platform, industry news, and in-depth reports. With over 3,000 team members, PitchBook operates globally, serving more than 100,000 professionals worldwide. Morningstar acquired PitchBook in 2016, and it continues to operate as an independent subsidiary.
