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.
Surface hidden behaviors and failure modes, iterate faster, and automate testing workflows to ship models with confidence.
Save up to 50% of experimentation time
Discover failure root cause in minutes not weeks
Up to 30% gains on model performance
Instantly answer questions around model behavior
Automate testing and deployment workflows
Founded by machine learning engineers and executives, our team at Kolena has first-hand experience with the challenges you're facing. And we know there's a better way.
We’ve built AI products and infrastructure at companies like Amazon, Rakuten, and Palantir—and we’re passionate about putting the same powerful solutions in your hands.