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.

Show more
  • 11TestimonialsView
  • 6Case StudiesView
  • No
    Videos Yet
    Customer Videos
Customer Rating Review Scorebased on 611 reference ratings
4.8/5.0 (611)

11Testimonials

  • “Just needed to deploy a solution that works - and Activeloop made it simpler to ship our AI app quickly!”

10 more testimonialscurrently locked

6 Case Studies

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

5 more case studiescurrently locked

Additional Activeloop Information & Resources

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.