Deepchecks Launches Open Source Machine Learning Validation Solution with $14M Funding

Deepchecks, a machine learning validation solution, announced the release of its open-source tool along with $14M in seed funding. Alpha Wave Ventures led the funding campaign, while Hetz Ventures and Grove Ventures also participated. According to reports, only half of machine learning models make it to production, with most models facing budget and time constraints. This is where Deepchecks comes in, offering users more comprehensive validation of machine learning models than just MLOps. It is focused on creating a community-driven MLOps framework that offers visibility and confidence from development to deployment and operation in production. The open-source tool has already experienced over 500k downloads, and is being used by companies like AWS, Booking.com, and Wix. Deepchecks is confident that it is the emerging standard to ensure that machine learning can be safe and predictable from research to production.