Cobalt automatically generates insights into model performance, and suggestions for improvement. In minutes, through its unique, modality-agnostic approach.
Easily start analysis for a model with a few lines of code. Cobalt readily supports text, image, and tabular datasets.
Automatically identify problematic groups of data in your model, saving days or weeks of data scientist effort spent troubleshooting.
Use Cobalt's interactive interface to understand patterns in model failure, and export them to a notebook to explore further.
Use the groups discovered by Cobalt to target the most important data— for retraining or fine-tuning— and create test cases to catch future regressions.
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