Use Kolena's testing platform to build a culture of ML model quality.
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Speak with our R&D team. An actual ML engineer will:
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Build a culture of ML model quality
Surface hidden behaviors and failure modes, iterate faster, and automate testing workflows to ship models with confidence.
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THE PROBLEM
ML evaluation techniques are falling short.
Aggregate metrics don't tell the full story — unexpected model behavior in production is the norm.
Current testing processes are manual, error-prone, and unrepeatable. Models are evaluated on arbitrary statistical metrics that align imperfectly with product objectives.
Tracking model improvement over time as the data evolves is difficult and techniques sufficient in a research environment don't meet the demands of production.
There is a better way.
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