Know when your
agents regress.
BenchVault is a quality baseline harness for autonomous AI agents. Capture measurements from cohort runs, detect drift, and gate deployments on real quality data.
Running 24 scenarios across 3 agent variants...
Baseline: onboarding-v2 (2026-05-01)
PASS task_completion_rate 92.4% (+1.2%)
PASS latency_p95 3.4s (-0.8s)
WARN cost_per_run $0.47 (+12%)
FAIL hallucination_rate 4.1% (+2.3%)
1 regression detected. Deploy gate: BLOCKED
Capabilities
Everything you need to trust
your agent releases.
Stop guessing whether your latest prompt change made things better or worse. Measure it.
Baseline Capture
Record agent execution measurements as versioned, immutable baselines. Every metric, every scenario, every run.
Regression Detection
Compare new runs against established baselines. Statistical significance testing, not just eyeballing diffs.
Cohort Analysis
Run the same scenarios across agent variants, model versions, or prompt changes. See exactly what moved.
Deploy Gates
Block deployments when quality drops below thresholds. The pipeline stops until the regression is fixed.
Drift Monitoring
Track quality metrics over time. Catch slow degradation before it compounds into a crisis.
Scenario Library
Define repeatable test scenarios with expected outcomes. Version them alongside your agent code.
How it works
Three steps to quality
you can prove.
Define scenarios
Write the inputs, expected behaviors, and quality dimensions that matter for your agent. Store them as code.
Run cohorts
Execute scenarios against your agent. BenchVault captures every measurement, compares against baselines, and flags regressions automatically.
Ship with confidence
Gate your deploy pipeline on BenchVault results. No regressions, no surprises. Quality is a number, not a feeling.
Quality is infrastructure,
not a checkbox.
Every team shipping AI agents needs a quality baseline. Most are duct-taping it together with custom scripts. BenchVault makes it a system.