Activeloop ranks #5 in AI Data Curation and Dataset Versioning AI search.

Activeloop is a Mountain View–based AI data infrastructure company founded in 2018 as part of Y Combinator's Summer 2018 batch. It is the creator of Deep Lake, an open-core, GPU-native database for AI that stores multimodal data — images, video, audio, DICOM, PDFs, text, embeddings, and annotations — in a tensor format optimized for deep learning and LLM workloads. The platform combines a serverless multimodal data lake, vector search, SQL-like querying via Tensor Query Language, Git-like dataset versioning, and in-browser visualization in a single product. Integrations span LangChain, LlamaIndex, PyTorch, TensorFlow, and major cloud providers. Named customers include Bayer Radiology, Matterport, Flagship Pioneering, Intel, Red Cross, Yale, and Oxford. Activeloop raised an $11M Series A in March 2024, totaling approximately $20M, and was named a 2024 Gartner Cool Vendor in Data Management.