London's Cognitive Credit Raises $40M to Bring AI to Credit Analysis

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Cognitive Credit, a London-based provider of corporate credit data and AI technology, has raised $40 million in a strategic growth round led by Summit Partners. The company plans to accelerate its US expansion and launch new products.

Cognitive Credit, a London-based provider of corporate credit data, analytics, and AI technology, has secured a $40 million strategic growth investment. The round was led by global growth equity firm Summit Partners, with continued participation from existing investor ETFS Capital. This brings the company's total funding to over $57 million, following a $10 million Series B in September 2024 and a $7.17 million Series A in November 2021. ### Why This Matters for Credit Professionals Corporate credit is one of the world's largest asset classes, with nearly $14 trillion raised in 2025 alone, according to the OECD's Global Debt Report 2026. Yet the tools available to credit analysts have long lagged behind those for equity markets. Cognitive Credit was founded in 2017 by former credit analysts who experienced this gap firsthand. They set out to bring a long-overdue digital transformation to credit markets. "High-quality data at speed and scale is critical to powering AI workflows that credit professionals will increasingly rely on for high-stakes decisions," said Chris Bon, a Partner at Summit Partners who has joined the Cognitive Credit Board of Directors. ### What Cognitive Credit Does Cognitive Credit's platform combines verified data, advanced analytics, and domain-specialist generative AI to support the entire credit research workflow. Its proprietary database is built from the analysis of hundreds of thousands of financial reports, providing audit-grade credit models and primary reporting libraries for over 3,500 corporate bond and loan issuers across the US, Europe, and emerging markets. The product suite includes: - A web application for comprehensive credit analysis - An Excel add-in that streams proprietary financials directly into spreadsheets - A REST API for integration into institutional tech stacks - A Claude Connector that lets analysts query issuers and surface insights within the Claude environment All outputs are fully auditable and traceable to source, a critical differentiator for institutional clients. This emphasis on verified data has helped Cognitive Credit power analytical workflows for more than 80% of the top 25 global asset managers by AUM and all top 10 global debt league table investment banks. The company has achieved 240% active user growth and more than doubled its global bond and loan issuer coverage. > "Demand for credit-specialist technology will continue to accelerate from here, and we are pleased to partner with Summit Partners on our next phase of growth. With the imminent launch of DealConnect, ongoing innovation in our AI deployments, and many additional capabilities planned for 2027, we're offering credit teams the highest quality data and analytics they require for differentiated analysis and high impact decision-making." โ€“ Robert Slater, founder and CEO of Cognitive Credit ### What's Next for Cognitive Credit With this strategic investment, Cognitive Credit will accelerate its commercial expansion into the US and advance its next generation of products. These include the imminent launch of DealConnect, designed to enable on-demand access to detailed credit models for private issuers that report via secure data rooms, and the pending deployment of agentic credit analysis. The company also plans to continue expanding its issuer coverage. For credit professionals in the US, this means access to a more powerful, AI-driven platform that can help them make faster, more accurate decisions in an increasingly complex market. As Bon added, "Cognitive Credit is purpose-built for credit analysis and leverages institutional-grade technology to provide speed, precision, and auditability across thousands of issuers and to support leading banks and asset managers in use cases where accuracy and verifiability are critical."