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Artificial Intelligence Underwriting Company raises $40M to insure AI agents
The InsurTech startup's Series A, led by Ribbit Capital, brings total funding to $55 million as enterprises scramble to manage liability from autonomous AI systems.
The Artificial Intelligence Underwriting Company, better known as AIUC, has closed a $40 million Series A funding round led by Ribbit Capital, with participation from First Harmonic. The raise brings the San Francisco-based startup’s total funding to roughly $55 million, positioning it as one of the better-capitalized players in the nascent market of insuring autonomous AI systems.
What AIUC actually does
AIUC’s core product is a framework called AIUC-1, which functions a lot like a SOC 2 certification but tailored specifically for AI systems. SOC 2 is the compliance standard that cloud companies use to prove they handle customer data responsibly. AIUC-1 does something analogous for AI safety, reliability, and compliance, then ties insurance coverage directly to the audit results.
The coverage limits go up to $50 million per policy, meaning enterprises deploying autonomous agents can get meaningful financial protection if something breaks.
The framework was developed with the law firm Orrick and incorporated input from over 250 CISOs at Fortune 1000 companies.
AIUC was founded in 2024 by Rune Kvist, Brandon Wang, and Rajiv Dattani. The company emerged from stealth in July 2025 with a $15 million seed round led by Nat Friedman, the former CEO of GitHub.
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Why Ribbit Capital is betting on AI insurance
Ribbit Capital, which led the Series A, is one of the more recognizable fintech-focused venture firms in Silicon Valley. Its portfolio includes companies like Robinhood, Coinbase, and Revolut.
First Harmonic’s participation as a co-investor adds another dimension. The firm focuses on deep-tech investments, suggesting confidence in the technical architecture behind AIUC’s audit and certification process, not just the business model.
The broader AI liability landscape
The EU’s AI Act introduced tiered risk classifications for AI systems. Several US states have proposed or enacted AI liability legislation. And major enterprises are increasingly requiring vendors to demonstrate compliance before deploying AI tools internally.
The company’s approach of linking coverage to audit results turns a vague, hard-to-model risk into a binary compliance question: pass the AIUC-1 certification and get coverage; fail the audit and you don’t.