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 555 reference ratings
4.7/5.0 (555)

11Testimonials

  • "Activeloop's Deep Lake helped us focus on building the product instead of worrying about scalable data infrastructure. It enabled us to efficiently host multiple collections in memory, overcoming the synchronization issues we faced in our serverless architecture with other vendors. Deep Lake's user-friendly API and low incremental complexity for our product are second to none - it's the perfect fit for tech companies navigating the complexities of Generative AI data infrastructure."

    William ZengCo-Founder
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6 Case Studies

  • IntelinAir faster AgriTech with aerial machine learning data pipelines

    Jennifer HobbsDirector, Machine Learning
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Read Activeloop Reviews, Testimonials & Customer References from 11 real Activeloop customers.

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