The release gate for AI agents
We help teams ship AI agents with confidence — challenging candidate updates beyond visible tests, diagnosing where they fail, and gating which changes are actually safe to ship.
AI agents are becoming production software. Every change needs a release gate.
Teams ship agent updates because the visible tests improved. But a higher score on the cases you can see says nothing about the cases you can't — hidden edge cases, out-of-distribution inputs, adversarial prompts, and the quiet regressions that only surface in production.
Verifiable Labs is the release gate for AI agents. We challenge candidate updates beyond visible tests, diagnose where they break, help teams improve the candidate, and return a clear decision — ship, block, or limit — with a reviewable Generalization Card. The takeaway is simple: ship AI agents only when they truly generalize.
Our shared values
TRANSFER OVER SCORES
A higher visible score is not an improvement. We care whether an agent update holds beyond the tests it was built against.
DECISIONS, NOT SCOREBOARDS
Evaluation should end in a decision — ship, block, or limit — not another dashboard nobody acts on.
EVIDENCE YOU CAN REVIEW
Every decision comes with a redacted record of what changed, why it passed or failed, and what was decided.
PRIVATE BY DEFAULT
We review agent updates without exposing customer data, private evals, hidden cases, or secrets.