Historically, insurance has driven safety innovations in technology: from steam boiler inspections to fire prevention standards. At Exona, we're enabling the (re)insurance industry to better underwrite AI risks, creating a market-driven force for safer AI practices.
As AI systems become embedded in critical business operations, their risks remain difficult to quantify. Our AI Risk Engine surfaces, measures, and models AI risk so (re)insurers can confidently underwrite and price it.
This gives underwriters the confidence to monitor, price, and insure AI exposure, just as they do for cyber, flood, or catastrophy risk.

We combine frontier AI safety research with deep financial & actuarial expertise to accurately price AI-driven risk and protect insurers from emerging threats.
We are able to price novel risks, uncover hidden exposures inside existing cyber portfolios, and actively reduce risk through our proprietary guardrails.

Dynamic risk-pricing models that learn from real-world AI failures, near-miss data, and system behavior. Transforms complex signals into underwriting-ready insight and AI risk scores.
Measure and flag hidden AI exposure within existing cyber and tech E&O policy portfolios.
Proprietary, plug-in guardrails and policy controls that reduce operational & safety risk, harden enterprise systems, and improve model reliability and compliance.

Our team brings expertise in quantitative risk modelling and evaluating modern AI systems. Previously, we developed pricing models for hard-to-price risks in the financial sector, and have ran AI safety research programs funded by Innovate UK and BlueDot Impact.
Our approach combines rigorous quantitative methods with deep technical understanding of modern AI systems. We don't just analyze risks, we architect the frameworks that make AI risks insurable.
Reach us to explore partnerships and custom risk programs tailored to your organization's AI exposure.