Machine Learning Startup Raises $14M In Seed Funding 

Machine learning startup Deepchecks has raised $14 million in seed funding for its solution for continuously testing models from development through production, the company announced Thursday. 

It also made an open source version of its solution generally available, while it continues to test its commercial product Deepchecks Hub. 

The open source solution allows users to reuse and tailor its components to test machine learning models and datasets. It has had more than half a million downloads and is used by industry giants such as Amazon Web Services, Booking.com and Wix. 

The funding was led by the New York-based VC fund Alpha Wave Ventures, with participation from Israeli early stage investors Hetz Ventures and Grove Ventures. 

Deepchecks founders Philip Tannor and Shir Chorev set up the company three years ago, having completed their military service together in the Israel Defense Forces‘ elite 8200 signal intelligence (SIGINT) unit. 

“Philip and I were both in positions of leading AI research and bringing models to production. And we both saw the huge value potential that the algorithms in AI in general have, but alongside that we also noticed that they do face some quite significant challenges, specifically being able to actually do what they’re supposed to be doing and doing it properly,” Chorev recently told TechCrunch.

The machine learning market is expected to soar in value from $26 billion in 2023 to $226 billion by 2030.