For Insurers
The first clinical AI
you can price.
Carriers are excluding AI because unquantifiable risk is unwritable risk. DeepSensi replaces the unknown with a quantified bound, a partitioned liability record, and evidence that cannot be altered after the fact.
Measured risk: 3.23 × 10⁻⁶ per assertion
A worst-case undetected-error bound established by Fault Tree Analysis per IEC 61025¹ — the same class of number actuaries price every day.
Liability partitioned per decision
Every element of every clinical decision attributed to AI, physician, or deterministic rule — the question that sinks AI claims today, answered by design.
Tamper-proof claims evidence
Cryptographically sealed reasoning chains, verifiable by your own experts years after the event — including against the system operator.
DSS levels as underwriting criteria
Four certification tiers with explicit probability bounds — an objective, third-party-auditable basis for eligibility and pricing.
Premium differentiation for certified sites
Hospitals operating under a certified bound present demonstrably lower exposure — a new, defensible basis for rate segmentation.
Exposure quantified — not excluded
Turn a line you currently refuse to write into a priced, monitored, profitable book — with continuous telemetry instead of annual attestations.
¹ Fault Tree Analysis per IEC 61025, common-cause adjusted, worst-case operational degradation — WP-001. Demand-mode numerical target.