Activeloop

Activeloop provides continual learning infrastructure that enables AI teams to make every agent execution count, ensuring subsequent runs are smarter and more cost-effective. The platform consists of three integrated components: Deeplake, a vector and tensor database that keeps AI agents grounded, versioned, queryable, and GPU-native with serverless Postgres interface; Hivemind, which captures agent trajectories and transforms them into shared organizational memory and team skills; and Refinery, a software factory that turns feedback into production through continuous learning, including database optimization and kernel generation. The system operates on a continuous loop of observe, remember, improve, and verify, ensuring only benchmarked, regression-checked improvements move to production. Activeloop serves startups and Fortune 500 companies including Bayer, Matterport, Flagship Pioneering, and a Fortune 500 MedTech company, delivering outcomes such as 80% reduction in data prep time, 18% more accurate RAG, and 19.5% improvement in model accuracy. Recognized as a Gartner Cool Vendor, Activeloop is deployed across biomedical, multimedia, medtech, and robotics use cases. Founded in 2018 and headquartered in Mountain View, California, the company has raised $20.0M in Series A funding from investors including Y Combinator, Samsung NEXT, Tribe Capital, Streamlined Ventures, Baidu Ventures, and 468 Capital.