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 683 reference ratings
4.8/5.0 (683)

11Testimonials

  • "Partnering with Manot and Activeloop has been a game-changer for us. By implementing their innovative solutions, we've been able to achieve improved efficiency and reduced costs, setting new standards in the last-mile delivery space. With their exceptional expertise in training performant computer vision models, we look forward to a continued fruitful partnership as we scale our ML efforts to revolutionize the future of delivery together."

    Ignacio TartavullChief Executive Officer
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6 Case Studies

  • How Earthshot, an AgriTech powerhouse in environmental conservation space, 5x their speed with 4x less resources required

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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.

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