Deepchecks snags $14M seed to continuously validate ML models

Israeli startup Deepchecks has secured $14 million in seed funding and announced the general availability of its open-source solution for continuously testing machine learning models. Deepchecks aims to help data scientists ensure that their models are working as intended, with valid and unbiased data. The company's co-founders, CEO Philip Tannor and CTO Shir Chorev, drew on their experience in the Israeli military's AI research to address the challenges of model quality checking. Deepchecks' open-source product has already been downloaded over 500,000 times and is being used by companies such as AWS, Booking.com, and Wix. The startup plans to use the funding to expand its team and foster diversity within the company. The investment was led by Alpha Wave Ventures, with participation from Hetz Ventures and Grove Ventures.

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