Activeloop

Overview
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Generative AI Infrastructure?
Product stageSegments
Go-to-Market
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Data storage and retrieval
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Deep Lake is a Database for AI powered by a unique storage format optimized for deep-learning and Large Language Model (LLM) based applications (http://github.com/activeloopai/deeplake; 6.5K+ stars). 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. Deep Lake works with data of any size, it is serverless, and it enables you to store all of your data in once place. Deep Lake is used by Intel, Airbus, Matterport, ZERO Systems, Red Cross, Yale, & Oxford. Try out Deep Lake today via app.activeloop.ai. Activeloop's founding team is from Princeton, Stanford, Google, and Tesla, and is backed by Y Combinator.

HQ location:
236 Castro Street Mountain View CA USA
Founded year:
2018
Employees:
11-50
IPO status:
Private
Total funding:
USD 19.6 mn
Last Funding:
USD 11.0 mn (Series A; Mar 2024)
Last valuation:
USD 32.0 mn (Jun 2023)
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Company profile
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