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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