Machine learning operations company Deepchecks has secured $14m in seed funding for its new open-source platform. The tool is designed to validate machine-learning models continuously with a focus on safety and predictability. The platform provides features such as monitoring and root cause analysis for production environments and can create tests that allow for the identification and prevention of problems. It offers monitoring across different phases of the machine-learning lifecycle to cut down on non-critical tasks and is being used in a range of sectors including finance and healthcare.
Deepchecks Secures Funding and Launches Open Source Validation Platform for Machine Learning Models
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