CB Insights data lands inside Glean’s enterprise AI workflows

CB Insights and Glean have partnered to put private company intelligence directly into Glean’s Work AI platform, starting with Glean for Financial Services. The integration aims to help investors and enterprise teams pair internal knowledge with external market data without switching tools. Why it matters: - The integration gives enterprise users a way to combine internal company knowledge with validated private company data in one AI workflow. - Financial services teams can use the same AI workspace to search, analyze, and act on both internal and external information. - The move could reduce tool switching for research, diligence, business development, and strategy work. What happened: - CB Insights announced a partnership with Glean on June 16, 2026. - CB Insights data is now available across Glean’s Work AI platform. - The launch starts with Glean for Financial Services. - Users can ask questions in natural language and receive answers that blend Glean’s internal knowledge with CB Insights’ external market intelligence. The details: - The integration includes CB Insights’ proprietary data on private companies, funding activity, market trends, competitive landscapes, Mosaic™ scores, and analyst research. - Teams can use the data inside their AI workflows rather than moving between separate tools. - The platforms connect through model context protocol, or MCP, an open standard for connecting AI with data sources. - CB Insights said the setup reflects its focus on making data available where customers already work. - Glean said customers can combine external market intelligence with internal context to make better decisions. - CB Insights said its data is trusted by major financial institutions, including many shared clients. Between the lines: - The partnership targets a core AI problem: models are only as useful as the data they can access. - Glean brings internal enterprise context, while CB Insights adds structured external intelligence on private markets and emerging technologies. - The combination is designed to make AI outputs more useful for high-stakes decisions where incomplete information can create risk. What’s next: - The companies are positioning the integration for broader use across research, strategy, diligence, and business development workflows. - More organizations may adopt the combined workflow as AI tools move deeper into regulated, data-sensitive industries. - CB Insights and Glean appear to be using MCP as a foundation for wider data connectivity across enterprise AI systems. The bottom line: - CB Insights is moving its private company intelligence closer to the point of decision, and Glean is using that data to make enterprise AI answers more complete and actionable.