PitchBook has been a leader in data collection and innovation since its founding, using machine learning and AI to scale, speed, and refine our data operations. Our hybrid AI + HI (human intelligence) model combines AI-powered ingestion, classification, and resolution with validation and primary research conducted by our global research team. This approach allows us to source and structure data from hundreds of thousands of sources daily, many of which are not publicly available, and deliver it in a way that can be contextually relevant and actionable for our clients.
While we do not disclose the percentage of data sourced directly from market participants, much of what we believe is our highest-value information comes from proprietary datasets sourced through our primary research process, including data collected via surveys and FOIA requests. This represents a meaningful source of our data on new investment rounds, new funds and fund performance, allocations, and valuations. We continue to invest in expanding these unique data sets and improving the client experience through AI-driven innovation.
Beyond data operations, PitchBook’s AI initiatives align with Morningstar’s three-pronged approach:
- Delivering differentiated data and IP;
- Accelerating speed-to-insight through AI-powered products; and
- Boosting operational excellence and scalability across teams.
As part of these efforts, PitchBook is embedding generative AI into its platform, including PitchBook Navigator, and leveraging partnerships with leading LLM providers such as OpenAI and Anthropic to help enhance productivity and client value. While we also remain focused on growth investments, we believe these innovations will also contribute to greater efficiency, scalability, and support margin improvement over the long-term.