Openlayer's $4.8M seed round funding: making sure your AI models stay out of trouble

WHO Openlayer is a machine learning validation and testing platform that enables teams to efficiently detect, diagnose, and correct model failures. Openlayer's platform is ideal for both start-ups and Fortune 500 companies to detect machine learning errors.

WHAT Openlayer's funds will expand its functionality and workforce to support more machine learning tasks, and improve the testing platform's capabilities.

WHY As AI continues to gain more popularity, the need for data-centric machine learning increases. Testing for ML models should be a vital part of the model-building process, as opposed to an afterthought.

FUNDING Quiet Capital led the $4.8M seed funding round of Openlayer with a participation from YCombinator, Picus Capital, Hack VC, Liquid2 Ventures, Mantis VC, Jonathan Swanson, Mike Krieger, Max Mullen, Guillermo Rauch, Gokul Rajaram, Immad Akhund, Oliver Cameron, Yuri Sagalov, Rodrigo Schmidt, and John Kim.

CUSTOMER TRACTION Openlayer is being used by startups and Fortune 500 companies to validate and test their machine learning models.

KEY TAKEAWAY Openlayer's platform helps teams systematically improve their models and datasets, and supports verifying the integrity of training and validation datasets, tracking versions of models and datasets, and explaining model behavior.