Don’t take our word for it. Open the report.
Public reports, rebuilt on every change, and the explainer video. Nothing on this page claims a proof it cannot show.
See the evidence
The example below is a fictional commercial fleet-auto carrier, built on the same engine VeriQuant runs. It is public and rebuilt on every change. Open the rating analysis, try a quote in What-If, and see how many of the planted rating defects the tests catch.
01 · Rating analysis
Decision tables, What-If, mutation ↗
Every scenario against every decision point, in the orientation of a rate book.
02 · Run report
Requirements matrix from a real run ↗
What ran, what it proved, and the verdict it computed.
03 · The kit
Source on GitHub ↗
The rulebook, the rate tables as data, the tests, the twin.
04 · One rulebook, three protocols
The policy-api report ↗
One rating rulebook as the oracle across REST and gRPC. Reads NOT READY, with the blocker named.
Our private rate-revision demo runs on synthetic data and is available in a briefing. Public reports read sampled on their guarantees where no certificate is stored; nothing on this page claims a proof it cannot show.
The next step
A rate revision. A bureau update. A new state. An edge case nobody trusts. In 45 minutes, a senior member of our team walks your VP of Pricing, Head of QA and CIO through how the simulator is built for that case, and how your team runs the comparison in your own QA environment, exactly as you test today.
45
minutes
or email info@karatelabs.io
Need a rating check we don’t list? We build it during your evaluation.