Read 11 Activeloop reviews and testimonials from customers, explore 6 case studies and customer success stories, and watch customer videos to see why companies chose Activeloop as their undefined

Activeloop frees deep learning teams from building complex data infrastructure so they can develop AI products faster. It simplifies the deployment of enterprise-grade LLM-based products by offering storage for all data types (embeddings, audio, text, videos, images, pdfs, annotations, etc.), querying and vector search, data streaming while training models at scale, data versioning and lineage for all workloads, and integrations with popular tools such as LangChain, LlamaIndex, Weights & Biases, and many more.

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Customer Rating Review Scorebased on 757 reference ratings
4.8/5.0 (757)

11Testimonials

  • “They started out with a vector store integration, so it's flown under the radar, but @activeloopai's Deep Lake is an intriguing fully-fledged serverless data lake that supports attribute based filtering, multiple distance functions, MMR search.”

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6 Case Studies

  • How AskRoger Built an AI Personal Assistant for Any Content

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Read Activeloop Reviews, Testimonials & Customer References from 11 real Activeloop customers.

Browse Activeloop Case Studies, Customer Success Stories, & Customer References from 6 businesses that use Activeloop.