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Deep Lake: The Enterprise-Grade Database for AI

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Overview

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Activeloop delivers Deep Lake, a purpose-built tensor database for AI workloads. It enables the structuring and management of complex, unstructured multi-modal data—including images, audio, videos, text, and sensor data—into tensors. Deep Lake supports seamless data streaming, querying, visualisation, and robust version control, all optimised for enterprise use cases and trusted by Fortune 500 companies. With features like serverless tensor querying, powerful integrations, and SOC 2 Type 2 certification, Activeloop helps organisations accelerate AI product development, improve data quality, and streamline machine learning pipelines.

How It Works

  • Ingest & Organise: Store diverse multi-modal data (images, audio, video, annotations, tabular data) as tensors in Deep Lake.
  • Query & Curate: Use a serverless query engine to filter, search, and curate datasets using natural language or SQL—even across embeddings and metadata.
  • Visualise & Version: Instantly visualise multi-modal data and embeddings in the browser or Jupyter. Track and manage dataset versions with Git-like commands, allowing time-travel and change inspection.
  • Stream to Training: Stream data directly from remote storage to GPUs, removing bottlenecks and enabling efficient LLM fine-tuning and model training.
  • Integrate & Deploy: Effortlessly connect with AI/ML frameworks such as LangChain, LlamaIndex, OpenAI, PyTorch, and TensorFlow—all within your existing stack.

Use Cases

Enterprise AI Search & Knowledge Retrieval
Build highly accurate knowledge retrieval systems across millions of documents for comprehensive AI search and deep research with knowledge agents across all data types.
Accelerated AI Product Development
Reduce GPU costs, speed up deployment, and provide data scientists and engineers with a robust foundation to focus on business problems and innovation.
AgriTech & Computer Vision in Agriculture
Process imagery and sensor data from satellites, drones, and the field to improve crop quality, yields, and livestock health through advanced computer vision and ML.

Features & Benefits

  • Multi-Modal Data Support: Process and search across videos, text, images, vectors, and PDFs
  • Tensor Database: Store unstructured data as tensors for deep learning optimisation
  • Serverless Tensor Query Engine: Filter and manage multi-modal data from cloud or local environments
  • Advanced Visualisation & Version Control: Browser/Jupyter visualisation, data lineage tracking, dataset comparison
  • Git-like Data Management (Time-travel): Command-based data management, change inspection, and instant reverts
  • Natural Language & SQL Querying: Intuitive data interaction at scale
  • Efficient Data Streaming to Training: Stream remote data to GPUs for bottleneck-free model training
  • Enterprise-Grade Security & Compliance: SOC 2 Type 2 certified, trusted by Fortune 500
  • Extensive Integrations: Works seamlessly with LangChain, LlamaIndex, OpenAI, PyTorch, TensorFlow, and Weights & Biases
  • Scalable Data Management: Petabyte-scale capabilities for large operations
  • AI Knowledge Agent: Enables deep research across all data types (Pro/Enterprise plans)

Target Audience

  • Developers: Those building and deploying AI apps, especially in Python.
  • Data Scientists & ML Engineers: Focusing on training, fine-tuning, and deploying ML with complex, multi-modal data
  • Data Teams: Managing, curating, and preparing unstructured data for AI
  • Enterprises & Fortune 500 Companies: Seeking secure, scalable, enterprise-grade AI data infrastructure
  • AI/ML Startups: Accelerating product development and reducing time to market
  • Researchers & Academia: Engaged in cutting-edge AI and deep learning
  • Industries: Healthcare, agriculture (AgriTech), climate tech, logistics, and legal services using AI for insights and automation

Pricing

  • Pro Plan:
    • £99 per month per seat (includes 100GB storage, adjustable to 1TB)
    • 1000 AI knowledge agent uses/mo, connect own cloud storage (S3, AWS, GCP), cloud/local data queries, multi-modal deep research, model training & fine-tuning, data visualisation, Slack support, and data backup.
  • Enterprise Plan:
    • Custom pricing; contact for quote
    • Unlimited AI knowledge agent uses, all Pro features, VPC deployment, SLA, SSO, SOC2 & PenTest reports, petabyte-scale data, and premium onboarding.
All plans include visualisation, version control, querying, streaming for public/private datasets, and community support. Free trial available.

FAQs

Is Activeloop open-source?

Yes, Deep Lake, the core technology, is open-source and available on GitHub.

Is there a trial period for premium plans with Activeloop?

Yes, you can start a free trial to explore Activeloop's premium capabilities.

Do you offer custom pricing for larger organisations or unique use-cases?

Yes, the Enterprise plan provides custom pricing tailored to big organisations and unique needs.

Do you offer on-premise deployment of your stack?

Yes, VPC deployment is available as part of the Enterprise plan.

Can I upload datasets privately to Activeloop Deep Lake on the free plan?

Yes, all plans—including the free trial—enable streaming of both public and private datasets.

Does Activeloop storage extend beyond 10TB or 1PB?

Yes, the Enterprise plan offers petabyte-scale data management.

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