Audit-grade decision replay for regulated decisions.

When a monitoring policy is found to be wrong, which historical decisions change under the corrected policy — and can anyone prove the answer? We eliminate the mechanical re-review layer of regulatory lookbacks, so expert hours go to judgment calls and signatures, not the case factory.

Deterministic

Same evidence, same policy version, same decision — every time. That determinism turns "replay the book under the corrected policy" into an audit procedure, not a re-estimate.

Full population

Re-adjudicate the entire historical population under the old and corrected policy. Every changed decision is identified, and the exact control responsible is named — mechanically.

Independently verifiable

Every decision ships with integrity-chained evidence that a validator, auditor, or examiner can reproduce on their own machine — offline, with no dependencies, and without trusting us.

Public proof, not promises

Our benchmark is published: a deterministic AML alert lookback, re-adjudicated across successive policy versions and pre-registered data splits — including a real policy defect caught, fixed, and validated on untouched holdout data. Verify it yourself with a standard-library script.

1,436historical cases re-adjudicated
3,160runtime executions
100%trace completeness
Inspect the benchmark →

Built for independent validation practices. We license the evidence machinery; we don't run engagements. Regulation requires validation to be independent of a system's builders and operators — so independence stays exactly where it belongs: with you.

Chris Beachy, Founder — chrisbeachy5@gmail.com