A day after Anthropic researcher Jacob Coxon quit his job over concerns that AI could kill us all by the end of the decade, I met with founders and brothers-in-law Rune Kvist and Rajiv Dattani. They think they have a solution that could save us all, or at least help prevent AI agents from going rogue inside enterprises. "AI is getting smarter at an increasingly rapid rate. The surprising thing about AI is that it becomes harder to adopt and harder to control as AI gets smarter, not easier," said Kvist, an early Anthropic employee who is also married to Dattani's sister).
Dattani is the former COO of the AI safety research organization METR. The pair launched a startup called Artificial Intelligence Underwriting Company ( AIUC ) that hopes to bring AI safety to enterprises and companies building AI models and agents. The startup names Cursor, Lovable, Harvey, and ElevenLabs as customers. On Tuesday, AIUC announced a $40 million Series A led by Ribbit Capital, with participation from First Harmonic.
It previously closed a $15 million seed round from Nat Friedman through his fund NFDG along with Emergence, Terrain, and Anthropic co-founder Ben Mann, among others, bringing its total funding to $55 million. What caught the attention of this A-list group of investors is AIUC's attempt to apply a familiar cybersecurity model to a new set of AI risks. The company has built a third-party audit and certification layer for AI agents. "Banks, hospitals, governments and militaries no longer decline to deploy AI because a model isn't smart enough," Kvist said.
"They decline because they've made commitments to their own customers about what a system will and won't do, and nobody can currently guarantee that. " Using the widely adopted cybersecurity standard SOC 2 as its muse, AIUC has developed a standard called AIUC-1 and a testing service to validate agents against the standard. To build the standard, AIUC assembled a consortium of about 250 security and risk leaders — the buyers of agents. "These are the people who we meet with on a monthly basis, and the question we ask them is: When you're buying agents from someone, what would you look for?