ActiveLoop.ai

Activeloop is the company behind Deeplake, a GPU native database for AI agents. It positions its stack as infrastructure for continual learning, so that each agent run makes the next one smarter and cheaper. The offer has three surfaces that share the same underlying infrastructure. Deeplake is the data engine: it stores vectors and tensors in one place, streams data from storage to GPUs for fine tuning, versions data, and exposes a serverless Postgres interface. Hivemind is the organizational memory layer, capturing agent trajectories and turning solved problems into skills that are shared across teams. Refinery is described as a software factory that converts feedback from production into improvements, covering database optimization, kernel generation and policy optimization for physical AI. The company frames this as a loop of observing production, remembering outcomes, improving the next attempt and verifying with benchmarks and regression checks before shipping. It is aimed at engineering teams building agents, retrieval systems and data pipelines, from startups to large enterprises, and the site invites visitors to book a demo or a working session. Deeplake itself has its own site at deeplake.ai. Pricing is unpublished in readable form. The pricing page loads its content with JavaScript and no plan amounts could be read, and the main call to action is a demo request, so confirm costs directly with the vendor.