Audience

Deeplake is best suited for AI engineers, machine learning teams, agent developers, robotics teams, RAG builders, data infrastructure teams, generative media companies, and enterprises that need GPU-native retrieval, multimodal data management, vector search, serverless Postgres, and scalable memory for production AI agents

About Deeplake

Deeplake is a GPU-native database for AI agents that helps teams store, retrieve, and process data where their models already run. Built by Activeloop, it is designed as a memory and data layer for production-grade AI agents, agentic loops, physical AI, and generative media workflows. The platform combines a familiar Postgres-style interface, analytical query performance, multimodal data lake capabilities, and GPU acceleration into one AI-focused data system. Deeplake supports use cases involving text, images, video, sensors, 3D scans, model weights, embeddings, and other complex data types. It helps agents retrieve context faster, reduce data movement, and run large volumes of queries more efficiently than traditional CPU-based database architectures. With SOC 2 Type II certification, VPC deployment, open-source traction, and support for modern AI stacks, Deeplake gives AI teams a scalable foundation for agent memory, retrieval, and multimodal data management.

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Pricing

Starting Price:
$0
Pricing Details:
Usage-based
Free Version:
Free Version available.

Integrations

API:
Yes, Deeplake offers API access
See Integrations

Ratings/Reviews

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features 0.0 / 5
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Company Information

Activeloop
Founded: 2018
United States
deeplake.ai/

Videos and Screen Captures

Deeplake Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
In Person
Videos
Support
Phone Support
24/7 Live Support
Online

Deeplake Frequently Asked Questions

Q: What kinds of users and organization types does Deeplake work with?
Deeplake works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Deeplake support in their product?
Deeplake supports these languages: English.
Q: What kind of support options does Deeplake offer?
Deeplake offers support via phone support, 24/7 live support, and online.
Q: What other applications or services does Deeplake integrate with?
Deeplake integrates with: Activeloop, Amazon SageMaker, Amazon Web Services (AWS), ChatGPT, Google Cloud Platform, Jupyter Notebook, LangChain, OpenAI, PyTorch, and TensorFlow.
Q: Does Deeplake have an API?
Yes, Deeplake has an API.
Q: What type of training does Deeplake provide?
Deeplake provides training in the form of documentation, live online, in person, and videos.
Q: How much does Deeplake cost?
Pricing for Deeplake starts at $0.

Deeplake Product Features

Deeplake Additional Categories