Sematic raises $3M to build an open-source Continuous Machine Learning platform

Sematic has announced a $3 million seed funding round led by Race Capital, with participation from Y Combinator, Soma Capital, Leonis Capital, Fundament, and Pioneer Fund, to advance its mission of making machine learning (ML) development more accessible and efficient. The company aims to revolutionize the ML industry by offering an open-source framework that simplifies the prototyping, automation, and deployment of end-to-end ML pipelines, addressing the current gap between theoretical potential and practical application due to complex tooling. Drawing from their experience at Cruise, the first robotaxi company with a commercial service, Sematic's founding team has developed methods that empower ML engineers to independently manage complex training pipelines. The company's vision includes creating automated feedback loops with guarantees around traceability, reproducibility, and observability, ensuring models remain relevant and scalable. Sematic seeks to become the standard for Continuous Machine Learning, providing a low barrier to entry and supporting ML engineers of all skill levels in building scalable, continuous learning systems.