Welcome

Concrete ML is an open-source, privacy-preserving, machine learning framework based on Fully Homomorphic Encryption (FHE).

Get started

Learn the basics of Concrete ML, set it up, and make it run with ease.

What is Concrete ML

Installation

Key concepts

Build with Concrete ML

Start building with Concrete ML by exploring its core features, discovering essential guides, and learning more with user-friendly tutorials.

Fundamentals

Explore core features and basics of Concrete ML.

• Built-in models
• Encrypted data-frames
• Deep learning

Guides

Discover essential guides to work with Concrete ML.

• Prediction with FHE
• Production deployment
• Hybrid models

Tutorials

Learn more about Concrete ML with our tutorials.

• Start here
• Go further
• See all tutorials

Explore more

Access to additional resources and join the Zama community.

References & Explanations

Refer to the API, review product architecture, and access additional resources for in-depth explanations while working with Concrete ML.

• API

• Quantization

• Pruning

• Compilation

• Advanced features

• Project architecture

Support channels

Ask technical questions and discuss with the community. Our team of experts usually answers within 24 hours in working days.

• Community forum

• Discord channel

Developers

Collaborate with us to advance the FHE spaces and drive innovation together.

• Contribute to Concrete ML

• Check the latest release note

• Request a feature

• Report a bug

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We value your feedback! Take a 5-question developer survey to improve the Concrete ML library and the documentation and help other developers use FHE.