Turn evaluation into a learning system
Offline evals cannot tell you on their own whether a change will improve the product for real users. Validate measures the full system against criteria your team defines, records each pre-merge result as a prediction, and shows which signals and ideas hold up in production.
The offline signal is expensive and incomplete
Every AI team leans on offline evals to move fast. Three gaps come with the territory.
Offline suites bill by the run, and the spend scales with iteration speed.
Offline scores and production outcomes are loosely coupled. A pass offline is a hypothesis about online behavior.
Few teams have a mechanism for grading offline predictions against production, so the suite never learns which signals matter.
Validate gives teams a framework to close these gaps over time, measuring the whole system on declared criteria and treating every verdict as a prediction production can grade.
From draft PR to verdict
Every draft Outrider opens can run through your own evaluation suite. You set the policy. It starts in observe-only.
Does it work? Does it help?
Checks say it works; benchmarks say it helps. The unit under test is your whole system.
Criteria committed to your repo, or inferred from the benchmarks and review threads your team already trusts.
Two builds, baseline vs this PR, run on provisioned compute. Checks say it works; benchmarks say it helps.
The verdict gates the merge as a Check. Guardrails protect production.
After the merge, production grades the prediction. Predicted vs delivered, on the same criterion, and every graded prediction teaches the suite which offline signals track online results.
No measurable effect is a finding. Knowing which merged changes moved the declared metric, and which did nothing, is the number that tells you where engineering time is going.
Know before you merge
Validate runs the benchmarks and metrics your team already trusts against the diff, offline and A/B, rather than a generic score.
Results post as a pull request comment, pass, warn, or fail, next to the diff and the selection reasoning.
Promote, comment, or stay silent on your rules. Validate is observe-only by default and earns autonomy on results.
Each validated outcome feeds the next recommendation, so the following change starts sharper than the last.
Ready to learn which evals predict production?
Validate is in a design-partner pilot. Request a pilot and we will follow up to scope it.