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Once your model is in production, you can use it for inference and connect it to downstream applications. Oumi automatically version-controls your project assets—including models, datasets, evaluations, evaluators, and recipes—so you can reproduce every deployment. As data and usage patterns change, model performance can degrade. Quality monitoring helps you catch regressions early by tracking judge scores on production traffic. When scores decline, compounding intelligence closes the loop. Analyze the affected traffic, generate training data that targets its recurring failures, then retrain and redeploy.

Quality monitoring

Watch judge scores over live traffic and catch regressions early.

Health metrics

Track your deployment’s traffic, errors, latency, and throughput.

Running evaluations

Evaluate your model with the Builder.

Compounding intelligence

Turn production failure modes into targeted training data and a better model.