Cognitive Credit
A London platform for investment banks, asset managers and hedge funds that automates credit data and analysis while keeping sources traceable.
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Podcast Episode
🎙️ Deep Dive
Enact Intelligence, Cognitive Credit, Phononic Vibes — $30M for robotics, $40M for credit AI and €25M for metamaterials — Daily News October 23, 2026
Listen to the episodeAbout Cognitive Credit
Founded in London in 2017 by Robert Slater (CEO), Cognitive Credit builds structured, verified data, financial models, analytics and generative-AI tools for corporate-credit analysis. The platform covers more than 3,500 bond and loan issuers across the United States, Europe and emerging markets and is delivered through a web application, an API, an Excel add-in and a Claude connector. According to the company, its workflows are used by more than 80% of the top 25 global asset managers by AUM and by all of the top 10 debt league-table investment banks. After a £6 million Series A in 2021 led by Fitch Ventures and a $10 million Series B in 2024 led by ETFS Capital, on October 22, 2026 it completed a $40 million growth investment led by Summit Partners, with ETFS Capital, to expand in the United States, launch DealConnect and develop agentic credit analysis.
The Story
Robert Slater founded Cognitive Credit in London in 2017 to build tools dedicated to credit research.
How Cognitive Credit works
Business Model
B2B software and data for institutional investors and investment banks.
Revenue Model
Platform and data access for institutional clients; pricing undisclosed.
Products & Services
Key Products
- Web app con Cognitive Credit AI
- API REST
- Componente aggiuntivo per Excel
- Connettore per Claude
- DealConnect (in lancio)
Core Use Cases
- Fundamental corporate-credit research
- Financial-model updates
- Bond and leveraged-loan analysis
- Workflow automation with verifiable outputs
Market & Clients
Key Customers
Investment banks, asset managers and hedge funds.
Geographic Presence
How Cognitive Credit competes
Competitive Advantages
- Structured and verified fundamental data
- Outputs traceable to source
- Tools purpose-built for credit
- Distribution through web, API and Excel
How Cognitive Credit grows
Growth Strategy
US commercial expansion, broader issuer coverage, the launch of DealConnect and agentic credit analysis.
Distribution Model
Direct enterprise sales with access through web, API, Excel and software connectors.
Moat (Defensibility)
Proprietary data drawn from hundreds of thousands of financial documents, credit models and integrations into institutional-investor workflows.
Regulatory Context
Data protection, operational resilience, model governance and control obligations of financial institutions affect procurement and use.
Key Risks
- Errors or hallucinations in AI workflows
- Liability for inaccurate data or analysis
- Long financial-sector sales cycles
- Competition from large data vendors and general-purpose platforms
Strategic Insights
- Proprietary, verified data may be worth more than the AI model alone in regulated verticals.
- Integration into existing workflows through APIs and Excel reduces adoption friction.
Funding & Investors
Funding Rounds
- 2021 - Series A: £6M
Lead: Fitch Ventures - 2024 - Series B: $10M
Lead: ETFS Capital - 2026 - Investimento growth strategico: $40M
Lead: Summit Partners
Key Investors
Founding Team
Founders
Key Metrics
Lessons from Cognitive Credit
- In professional markets, accuracy and verifiability can be product features rather than compliance requirements alone.
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Read AnalysisSources
- Cognitive Credit Announces $40 Million Strategic Growth Investment Led by Summit Partners — Cognitive Credit
- Cognitive Credit Announces $40M Strategic Growth Investment — Summit Partners
- London’s Cognitive Credit lands €35.73 million to scale its AI and data platform for credit markets — EU-Startups
- About Cognitive Credit — Cognitive Credit