Deepchecks Raises $14 Million to Advance Machine Learning Validation Technology

Deepchecks, a start-up focused on machine learning validation technology, has secured $14m in seed funding for its new solution aimed at enhancing and ensuring the reliability of machine learning models. The company, a graduate of Intel’s accelerator program, Intel Ignite, has created a testing and validation methodology applying established software development approaches to machine learning. With only 50% of machine learning models reaching production and many producing issues such as time and budget limitations, Deepchecks is looking to bring clarity and confidence throughout the entire machine learning lifecycle, from development through to deployment and operation in production.