Israeli startup, Deepchecks, has secured a seed funding of $14 million for a continuous machine learning model validation solution. The solution is intended to maintain the integrity of AI models by checking data validity, bias and corruption. CTO Shir Chorev and CEO Philip Tannor, both former members of the Israeli military, noticed these challenges while working on machine learning, leading them to create Deepchecks in response. The open-source tool has been downloaded over 500,000 times, with clients including AWS, Booking.com and Wix. The company also provides a commercial solution, Deepchecks Hub, which features enterprise security and authentication. The combination of pre-seed and seed investments came from Alpha Wave Ventures, Hetz Ventures and Grove Ventures.
Deepchecks Secures $14 Million in Seed Funding to Continuously Verify Machine Learning Models
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