D About
Deepchecks develops comprehensive validation and monitoring tools for machine learning models throughout the entire MLOps lifecycle. Their core technology centers on data-centric AI testing, utilizing algorithms to automatically detect anomalies, regressions, and potential failure points in model data and performance. Targeting data science and ML engineering teams, Deepchecks has gained traction with enterprise customers seeking to improve model reliability and reduce risks associated with deployed AI systems.
Focus Areas
Technology Focus
ml ops ai safety
Quick Stats
- Founded
- 2019
- Status
- private
- Type
- startup
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