PitchBook, a leading provider of private capital market intelligence and a subsidiary of Morningstar, has unveiled new generative AI capabilities with the launch of PitchBook Navigator and a forthcoming integration with OpenAI through the Model Context Protocol (MCP). These advancements aim to make trusted private market data faster, more accessible, and deeply embedded in financial professionals’ daily workflows. PitchBook Navigator, set to be generally available in late November, is a generative AI feature that allows users to ask natural-language questions directly within the PitchBook Platform and instantly receive insights on companies, deals, and market trends. Powered by PitchBook’s proprietary data and its unique AI + HI (Artificial Intelligence + Human Insights) methodology, Navigator combines machine intelligence with expert human review to deliver accurate, objective, and timely responses. The feature is designed to accelerate critical tasks such as deal sourcing, due diligence, and market analysis. Over time, it will expand to cover the full breadth of PitchBook’s data, research, and intellectual property. Early beta testing has shown strong user adoption and measurable gains in productivity. The platform’s ability to transform complex data into clear, conversational insights helps users move from data discovery to decision-making with greater speed and confidence. In addition, PitchBook is expanding its AI ecosystem by launching an MCP connector with OpenAI. This integration will allow PitchBook subscribers to securely access its proprietary private market data directly within ChatGPT. Users will be able to retrieve high-quality, verified insights through simple prompts without leaving their preferred AI interface or needing to cross-check sources. The integration underscores both companies’ commitment to delivering reliable, premium data to power trustworthy AI-driven financial analysis. Paul Jaeschke, Chief Product Officer at PitchBook, emphasized the importance of data quality in AI, stating that “AI is only as powerful as the data and research behind it.” He added that combining the speed of conversational AI with the rigor of PitchBook’s data methodology enables professionals to act with confidence, no matter their role or location. Thomas Van Buskirk, EVP of Technology and Engineering at PitchBook, highlighted the company’s long-standing foundation in data integrity and its strategic move to lead in responsible AI innovation. “After nearly two decades of building the most comprehensive private market data, we’re now embedding AI where it matters most—within the workflows that drive investment decisions,” he said. PitchBook’s AI roadmap focuses on three core priorities: enhancing data accuracy, improving user efficiency, and expanding secure integrations across leading AI platforms. As AI adoption grows across financial services, PitchBook continues to position itself at the forefront of trusted, data-driven innovation in the private capital markets. With over 100,000 clients worldwide and a global team of more than 3,000 employees, PitchBook remains the go-to source for real-time data, research, and technology in private markets. For more information, visit www.pitchbook.com.