Activeloop

Activeloop provides infrastructure for continual learning, helping teams make each agent execution useful for the next run. Its products address data management, shared organizational memory, and the process of turning feedback into production software. The platform follows a four-step loop: observe production activity, remember what happened, improve the next attempt, and verify improvements before shipping.

The stack includes Deeplake, a data engine for AI agents with vector and tensor storage, GPU streaming to fine-tuning, and a serverless Postgres interface; Hivemind, which captures agent traces and distributes skills across teams; and Refinery, a software factory covering database optimization, kernel generation, and physical AI policy optimization. Activeloop also offers Multimodal AI Search for indexing and searching documents, images, and videos using natural language and large language models.

Activeloop is aimed at teams building software, agents, or data pipelines, including startups and larger organizations. Pricing is handled through Deep Lake, with current plans published on deeplake.ai.