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Catch model drift before your users do

The model you evaluated in January is not the model serving traffic in June — and nothing in your stack will tell you.

Continuous eval pipelines with drift alerts, A/B comparison across versions, and audit-grade promotion gates.

QuratorTech & SaaSBanking & Financial ServicesTelecom & MediaAI Product OwnerQE / Engineering Leader
How we approach it

Scheduled re-evaluation

Eval suites run on schedule and on every deployment.

Drift thresholds

Real-time alerts when quality metrics move.

Promotion gates

No model version promotes without passing its eval battery.

Measured outcomes

↓70%

Drift detection time

50+

Built-in eval metrics

Related use cases