GitFounders
About Activeloop
The tool provides a tensor-based database optimized for deep learning pipelines. Activeloop enables seamless data ingestion, querying, visualization, and version control for unstructured data. It integrates with frameworks like PyTorch, TensorFlow, and LangChain, and supports natural language queries and serverless tensor queries to improve retrieval accuracy.
Key Features
- Stores multi-modal data including images, texts, videos, and vectors
- Real-time data streaming to ML frameworks
- Serverless tensor query engine with natural language support
- Dataset visualization and version control
- Integrates with LangChain, PyTorch, TensorFlow, and more
- SOC 2 Type 2 certified for data security
Pricing
Best for small to mid-sized teams looking to accelerate AI development with reliable data infrastructure.
- ✓1000 uses of AI knowledge agent per month
- ✓100GB storage
- ✓Cloud integration (S3, AWS, GCP)
- ✓Query, visualize, and version datasets
- ✓Dedicated Slack channel support
- ✓Backup data in Activeloop storage
Ideal for large organizations seeking scalable and secure data management solutions.
- ✓Unlimited use of AI knowledge agent
- ✓VPC deployment
- ✓SLA, SSO, SOC 2 & PenTest reports
- ✓Petabyte-scale data management
- ✓White-glove onboarding
Representation of core functionalities
Rendering mind map...
This is the mind map that represents the core functionality of the application. It focuses on the key features and functionalities of the application and provides a visual representation of how they are interrelated.
Summary
Activeloop delivers a powerful, multi-modal database with real-time streaming and advanced querying capabilities tailored for AI applications. Its robust integration with leading ML frameworks and strong security credentials make it a go-to solution for efficient data management in complex machine learning workflows.
Related Open Source Tools
