DeeplakeActiveloop
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About
Activeloop provides a continuous learning infrastructure for teams building software, agents, and data pipelines. Its core product, Deeplake, is the GPU database for agents, built around the idea that if your AI is on a GPU, your data should be too. Deeplake is designed to keep AI agents grounded, versioned, queryable, and GPU-native by combining vector and tensor data in one store, with GPU streaming to fine-tuning and a serverless Postgres interface. It gives teams a data engine for multimodal AI, allowing them to store, index, search, and stream data to models and agents. Instead of treating AI data as scattered files, embeddings, metadata, and traces across disconnected systems, Activeloop brings them into an infrastructure that can support retrieval, model development, fine-tuning, and agent memory workflows. It also includes Hivemind, where agent traces become team skills, so work solved once can be shared across the organization through trajectory capture.
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About
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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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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iPad
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Android
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Chromebook
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Software building teams that need GPU-native data, memory, and continuous learning systems for multimodal AI applications
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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
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Support
Phone Support
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24/7 Live Support
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Online
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Support
Phone Support
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24/7 Live Support
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Online
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API
Offers API
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API
Offers API
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
$0
Usage-based
Free Version
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Free Trial
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Reviews/
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Training
Documentation
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Live Online
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In Person
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Training
Documentation
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Company InformationActiveloop
Founded: 2018
United States
www.activeloop.ai/
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Company InformationActiveloop
Founded: 2018
United States
deeplake.ai/
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Integrations
Activeloop
Not Supported
Amazon SageMaker
Not Supported
Amazon Web Services (AWS)
Not Supported
ChatGPT
Not Supported
Deeplake
Supported
Google Cloud Platform
Not Supported
Jupyter Notebook
Not Supported
LangChain
Not Supported
OpenAI
Not Supported
PyTorch
Not Supported
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Integrations
Activeloop
Supported
Amazon SageMaker
Supported
Amazon Web Services (AWS)
Supported
ChatGPT
Supported
Deeplake
Not Supported
Google Cloud Platform
Supported
Jupyter Notebook
Supported
LangChain
Supported
OpenAI
Supported
PyTorch
Supported
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