For insurers & brokers — the partner track
The meter that makes AI risk insurable. AI liability insurance is real now (specialist programs write up to $25M per organization[F9]), but underwriting demands CONTINUOUS evidence customers don't have, and the majors are waiting for the instrument. We are the meter: the receipts already exist; ground truth is fed in as it arrives (complaints, spot checks: 5–25% is enough); a vigilant meter compares promise with outcome, built to look after EVERY new data point without false-alarming. That is the mathematically hard part, and the heart of our method.
Every planted calibration error caught
Every planted calibration error of the realistic kind was caught (five of five variants, 100% of runs) within a median of 6–53 confirmed outcomes. At a doubled error level with 10% follow-up: a median of ~150 outcomes to alarm, against a theoretical floor of 145. Faster cannot be built, for mathematical reasons.
The check-every-time method false-alarmed on up to 57% of clean runs; ours ran at 1.7–4.0% against a 5% budget.
Both sides of the policy
The company that wants to be insurable, and the insurer that needs the instrument to dare to write.
Status: figures measured in simulation on real model data; first partner pilot sought.
The partner track, over time
The meter: sparse ground truth in, promise-versus-outcome out, readable by your insurer.
Partner pilots with specialist underwriters; the meter as the basis for backed warranties.
Continuous underwriting: premiums that track your measured risk instead of last year's questionnaire.
Looking for a first partner pilot
We're happy to walk an underwriting team through the meter in detail.