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CB Insights has partnered with enterprise AI platform Glean to integrate its private company intelligence data into Glean's Work AI platform. The integration allows teams to access CB Insights' proprietary data on private companies, funding activity, market trends and Mosaic scores alongside internal company knowledge through natural language queries. The partnership launches with Glean for Financial Services, addressing the challenge of accessing both internal and external data within AI workflows. Users can now answer questions about private companies, market evolution and competitive landscapes without switching between tools. The platforms use model context protocol, an open standard for connecting AI with data sources. CB Insights CEO Karl Kong said the partnership helps customers get better answers faster in their existing workflows by combining internal knowledge with trusted external market intelligence.

CB Insights and Glean partner to bring private company intelligence into enterprise AI workflows. June 16, 2026, 16:15 GMT CB Insights data is now available across Glean's Work AI platform, helping teams combine trusted external market intelligence with internal company knowledge NEW YORK, NY, UNITED STATES, June 16, 2026 / EINPresswire.com / - CB Insights, the leader in predictive intelligence on private companies, today announced a partnership with enterprise AI leader Glean to make CB Insights' validated private company data and market intelligence available across Glean's AI platform. Through the integration, teams using Glean can access CB Insights' proprietary data on private companies, funding activity, market trends, competitive landscapes, Mosaic(TM) scores, and analyst research directly within their AI workflows. This allows users to ask questions in natural language and receive answers that combine Glean's internal company knowledge with CB Insights' trusted external market data. The partnership begins with the launch of Glean for Financial Services, which addresses a growing challenge for financial institutions: AI tools are only as useful as the information they can access. Glean helps organizations securely use their internal data, documents, and knowledge. CB Insights adds an additional external layer: validated information on private companies, investors, markets, and emerging technology trends. "Companies are increasingly using AI to make faster decisions, but the quality of those decisions depends on the quality of the data behind them," said Karl Kong, CEO of CB Insights. "Glean brings together the internal knowledge teams rely on every day. CB Insights complements that with trusted external data on private companies, markets, and technologies. Together, we're helping customers get better answers, faster, in the workflows where they already live." With CB Insights available in Glean, investors can more easily answer questions such as which private companies are gaining traction in a market, how a sector is evolving, where funding is flowing, and which competitors or partners may be worth watching. Instead of switching between tools, teams can bring CB Insights' external intelligence into the same AI workspace they use to search and analyze internal information. "CB Insights is a leader in private company intelligence, and trusted by the largest financial institutions in the world, including many clients we share," said Zubin Irani, VP of Partnerships, Glean. "By making CB Insights available across Glean's enterprise AI platform, our customers can combine deep external market intelligence with their own internal context to accomplish meaningful work and make better decisions." The two platforms use model context protocol (MCP), an open standard for connecting AI with data sources. This reflects CB Insights' continued focus on making its data available where customers already work. By integrating CB Insights' validated external intelligence with Glean's enterprise AI platform, organizations can bring stronger context to research, strategy, diligence, business development, and other high-value workflows. About CB Insights CB Insights is the leader in predictive intelligence on private companies - turning exclusive data on millions of firms into early, trusted signals on future performance and direction. The company pioneered predictive intelligence with its Mosaic Score - the first system to reliably forecast the outlook for a private company - and has since built it into a comprehensive platform of AI and data capabilities. Today, leading strategy, investment, and business development teams rely on CB Insights to identify the right companies, markets, and opportunities before their competitors do. Visit www.cbinsights.com for more information. Media Contact CB Insights [email protected] Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above. You just read: June 16, 2026, 16:15 GMT EIN Presswire's priority is author transparency. We do our best to weed out false and misleading content. The content above is the sole responsibility of the author who makes it available. If you have any complaints, kindly contact the author above. Media Inquiries CB Insights

CEO interview: Kubegrade. CB Insights ask senior leaders about what differentiates their market, where it's heading, and how they win. * May 19, 2026 Tim Grassin, CEO of Kubegrade, tells CB Insights how they view the market, customer needs, and their company. How do you define your market and where does your company fit into that space? So essentially, Kubegrade operates in a relatively large market, which is the Kubernetes space, currently adopted by roughly 90% of enterprises, employing over $12B worth of labor of Kubernetes engineers to maintain it. And its product appears in the day 2 operations stack, meaning CB Insights is competing with either observability tools or UI tools to detect issues within the Kubernetes cluster. However, while there are a variety of tools and teams building internal scripts, the gap that CB Insights identified was that most of these teams and tools are very good at detecting issues, but there's no automation for fixing them. So once you've detected them, there's a manual process in identifying the root cause of the issue and then resolving it. Whereas Kubegrade positions itself as a tool that not only detects issues by connecting directly within the cluster, but also connects with infrastructure-as-code, built within your GitOps. And once it's identified the issue, it automatically remediates it by generating pull requests. In this way, CB Insights bridge the gap between observability and remediation. CB Insights often compete with internal teams, so there is a lot of human labor, and organizations often characterize the work that CB Insights solve as toil. CB Insights do have some close competitors, such as Komodor, who will detect the issues relatively well and then have some form of remediation. But as a built-in remediation tool that automatically generates pull requests, avoiding as much human intervention as possible while maintaining very high guardrails and ensuring that there's always a human in the loop, I think Kubegrade does it best.