Activeloop

AI teams struggle to efficiently store, version, and stream large multi-modal datasets and embeddings for scalable model training and collaboration.

Activeloop provides Deep Lake, an open-core dataset database/vector database with a simple API for creating, storing, versioning, transforming, and streaming multi-modal AI data and embeddings serverlessly.

Machine learning engineers, data scientists, and developer teams at startups and enterprises building and training AI/LLM models.