Your engineering team's evals tell you the AI works. They were not built to survive an audit. FinEvals produces evidence that a second-line validator, internal audit and a regulator will accept.
Scenarios built with a known ground truth, so a wrong answer is provable rather than arguable. Each pack states what it tests — and what it cannot.
Most grading is an exact comparison against a ground truth we built into the scenario — no LLM judge, no rubric, no grader to validate. How that ground truth was constructed is documented, so you can challenge it.
Where judgement is unavoidable, each judge ships with its agreement study — including how closely human experts agree with each other.
A signed, versioned evidence pack. Every result traces to the run that produced it, with pack and model versions pinned, so the assessment can be re-checked a year later.
Second-line validation teams are asked to sign off on AI systems using evidence they cannot defend. We give them evidence that holds.
1. Select an eval pack — AML investigation support, credit decisioning or customer communications.
2. Deploy it to your own cloud — eval datasets and grading logic run inside your environment.
3. Generate the evidence — a signed report, mapped to the obligations it evidences, produced automatically.
No SaaS lock-in. No data egress. No security review nightmare.
