Capsa AI Raises $18 Mn in Series A Round

With this latest investment, Capsa AI has now raised a total of $20 million.

The funding round was co-led by TX Ventures and Pivot Investment Partners, with additional investment from Bek Ventures.

All of Capsa AI’s existing institutional investors also invested again in this funding round. These include Antler, Outward VC, and Cornerstone VC.

The round also received support from several angel investors connected to leading private capital firms and top U.S. technology companies, including Paul Forster, the co-founder of Indeed.

Capsa AI CEO and co-founder Danyal Oezduezenciler said, “Private capital is one of the most data-intensive industries on earth, and it has been chronically underserved by technology. We set out to build the platform that changes that – one that encodes how a fund thinks and operates and then executes on it. We’re bringing world-class AI to private capital, and the support of TX Ventures, Pivot Investment Partners, Bek Ventures, and all of our existing investors will allow us to scale what we’re building even faster.”

TX Ventures partner Krzysztof Bialkowski said, “Private capital is one of the largest knowledge-work markets still running on fragmented documents, emails and siloed systems. We invested in Capsa because the team is building a purpose-built intelligence layer for how funds source, diligence and monitor investments – not a generic AI copilot.

“The product compounds with every workflow and every piece of institutional knowledge captured, which is exactly the kind of vertical AI infrastructure we believe will define the next generation of financial services software. Danyal, Callum and the team have shown exceptional customer pull, capital efficiency and enterprise-grade execution, and we are excited to support them as they scale across Europe and the US.”

Founded in 2024 by Danyal Oezduezenciler and Callum Downie, The platform uses AI agents throughout the entire investment process, helping with tasks such as finding investment opportunities, conducting due diligence, monitoring portfolio companies, and managing back-office operations.

It is designed with a strong focus on security and flexibility. The platform can work with different AI models, meets SOC 2 Type II security standards, offers dedicated deployments for each client, allows data to be stored in specific regions, and does not use customer data to train its AI models.

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