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Historically, insurance has driven safety innovations in technology: from steam boiler inspections to fire prevention standards. At Exona, we're enabling the 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 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 catastrophe risk.

We price novel AI risks, uncover hidden exposures inside existing cyber, tech E&O, D&O portfolios, and actively reduce loss through proprietary guardrails.
Our platform combines frontier AI safety research, industry-leading AI incident and litigation data monitoring, and deep actuarial expertise — giving insurers the intelligence they need to act with confidence.

Dynamic risk-pricing models that learn from real-world AI failures, near-miss data, and system behavior.
Measure and flag hidden AI exposure within existing cyber and tech E&O policy portfolios.
Proprietary, plug-in guardrails that reduce operational & safety risk, harden enterprise systems, and improve model reliability.
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 run 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 build the models and data infrastructure that make AI risks insurable.
Reach out to discuss how we help insurers understand and manage AI risk.