At TechCrunch Disrupt 2026, private capital market intelligence provider PitchBook announced two major product releases designed to transform how investors source, evaluate, and act on data: enhanced agentic capabilities within PitchBook AI and the new PitchBook Data MCP. The dual launch brings PitchBook’s proprietary data and structured intelligence natively into investors' daily workflows, spanning both native platform tools and external AI models.
PitchBook unveiled new agentic features for PitchBook AI and introduced PitchBook Data MCP at TechCrunch Disrupt 2026.
Usage of PitchBook's Premium Connector has accelerated nearly 2,000% year-to-date, reflecting a massive shift toward AI-driven investment workflows.
PitchBook AI Skills and Agents automate repeatable tasks—such as market sizing, earnings digests, and investment committee briefing prep—turning queries into structured, citable work products on schedule.
PitchBook Data MCP connects a subset of PitchBook’s verified dataset (companies, deals, investors, and funds) natively into internal proprietary tools and third-party AI systems without separate integration overhead.
The advancements build on nearly two decades of verified private market data, providing the foundation required for trusted financial decision-making.
As artificial intelligence compresses deal sourcing, diligence, and execution timelines from days to hours, investment professionals face increasing pressure to pair speed with validated data. According to J.P. Morgan research cited by PitchBook, process automation (62%), predictive analytics (44%), and market intelligence (42%) rank as top strategic priorities for business leaders.
To address these shifting demands, PitchBook’s new features bridge the gap between static research dashboards and automated execution:
PitchBook AI Skills & Agents: Users can deploy predefined or customized Skills for market intelligence, deal sourcing, and credit research. Furthermore, scheduled Agents can independently execute repetitive routines—such as compiling daily news briefings on watch-list portfolios, summarizing quarterly public earnings reports, or drafting pipeline tear sheets before Monday reviews.
PitchBook Data MCP: Expanding beyond native web applications, the Model Context Protocol integration delivers trusted datasets (including company, deal, investor, and fund intelligence) directly into the AI environments and custom models investment teams build for themselves.
"We've learned a lot about where AI fits into our customers' daily work, and how the right experience changes the way they operate," said Paul Jaeschke, Chief Product Officer at PitchBook. "PitchBook AI ties our data, research, analytics, and workflows together in a single experience, built to keep pace with how fast the market is changing. Our customers can now answer questions faster, automate the tasks they run routinely, and act on our proprietary insights without having to go looking for them."
About PitchBook, a Morningstar company
As the pulse of private capital markets, PitchBook delivers trusted, real-time data, research, and technology to help investors, dealmakers, and innovators make decisions with confidence. Its products provide comprehensive information on companies, investors, funds, deals, and people, along with tools that help professionals analyze market activity and make informed decisions. Founded in 2007, PitchBook today serves more than 100,000 clients worldwide and is recognized as the leading source of private capital market intelligence. PitchBook has grown to over 3,000 employees across offices in Seattle, San Francisco, New York, London, Singapore, Mumbai, and other global locations. Since 2016, PitchBook has operated as a subsidiary of Morningstar, Inc
