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AI Underwriting Company 融资 5500 万美元,为前沿 AI 模型提供审计与保险
Rune Kvist 宣布 Artificial Intelligence Underwriting Company 融资 5500 万美元,用于审计和承保前沿 AI 模型。其机制是保险公司为定价风险而需要审计,并选择其信任的审计方,从而把审计转化为价格信号;他认为这与实验室自选审计方不同。过去 6 个月该公司已审计并承保 Cursor、ElevenLabs、Lovable 和 Harvey 等前沿 agent 构建方,其中 ElevenLabs 在 Lloyd's of London 承保方要求下接受季度技术审计,获得首个 agent 保险覆盖。公司称未来数周将开源首个面向前沿 AI 灾难性风险的精算模型。
AI推荐理由 转述 AI Underwriting Company 完成 5500 万美元融资,并给出其审计与保险机制、已审计 Cursor、ElevenLabs、Lovable、Harvey 等客户、ElevenLabs 获首个 agent 保险覆盖等具体信息;但内容为转推与融资祝贺,属二手转述,且未来计划(开源精算模型)尚未落地。
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Congrats on the raise!
[x.com/RuneKvist/stat…](https://x.com/RuneKvist/status/2100249848264237521)

Rune Kvist@RuneKvist
The Artificial Intelligence Underwriting Company has raised $55M to audit and insure frontier AI models.
Insurance produces audits the public can trust and understand. The mechanism is simple: insurers need audits to price the risk. They pick auditors they believe will help them price the risk most accurately. Insurers then turn the audits into a price signal that cuts through political debates. Insurers are aligned with the public: if they get the audits wrong, they go out of business. That’s different from today, where labs pick their own auditors, creating public distrust.
Insurance only works if we scale up auditing, and we are building the infrastructure to do that. Millions of agents are being deployed; they leave terabytes of traces and will create thousands of incidents across dozens of risk categories. To scale auditing, we need reliable agents to surface evidence traces for human review.
History guides us. Take cars: auto insurers funded crash tests to price risks; crash tests led us to airbags, lowering the risk. Take electricity: home insurers funded lightbulb tests to price fire risks; today, every lightbulb carries a safety mark. Nuclear safety works similarly.
We’ve been learning by doing.. In the last 6 months, we’ve audited and insured frontier agent builders like Cursor, ElevenLabs, Lovable and Harvey. For ElevenLabs to get the world’s first agent insurance coverage, a Lloyd’s of London insurer required quarterly technical audits by an auditor of the insurer’s choice. We’ve built infrastructure for quarterly technical audits of any agent, working alongside firms like Gray Swan (technical evaluations) and Schellman (audit).
In the coming weeks, we’ll share our vision for how an insurance ecosystem can work for the frontier, and open source the world’s first actuarial model for frontier AI catastrophic risk.
We’re hiring across all roles in San Francisco. Come do your life’s work with us.
Rune & Rajiv

[🔗 View Quoted Tweet](https://x.com/RuneKvist/status/2100249848264237521)