Brokers and underwriters: independent evidence and quantification, so you price and place coverage with confidence, not exposure. We make AI risk legible enough to underwrite.
Applicants claim their AI is controlled, but you have no independent basis to verify it. Pricing on self-attestation is pricing on faith.
Without quantified evidence, a policy can carry silent AI exposure you never priced for — and never saw until the claim.
Reinsurers and capacity partners want defensible risk assessment. "The applicant said so" doesn't move the placement forward.
Third-party evaluation of an applicant's AI posture — governance, controls, and failure modes assessed by a senior expert, not self-reported.
Intel AI turns AI risk into contextual, underwriting-grade signals you can price against — legible, comparable, and defensible to capacity partners.
Evidence packaged the way risk teams consume it, so you price, place, and defend coverage on data instead of guesswork.