Deepchecks snags $14M seed to continuously validate ML models

As companies increasingly rely on machine learning models, it’s imperative that they continuously check the models to make sure they are working as intended and that the data is valid, unbiased and not corrupted in any way.
Deepchecks, an Israeli startup has come up with a solution to continuously test models from development through production. Today, the company announced a $14 million seed investment and the general availability of the open source version of the solution. The company also has a commercial product, Deepchecks Hub, that it began testing earlier this year.
CEO Philip Tannor an

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