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

Understand the Concrete ML library with a full example.

Installation

Follow the step-by-step guide to install Concrete ML in your project.

Key concepts

Understand important cryptographic concepts to implement Concrete ML.

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.

• Built-in models
• Deep learning

Guides

Deploy your projects.

• Prediction with FHE
• Production deployment

Tutorials

Learn more with tutorials.

• Start here
• Go further

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.

• Security and correctness

• 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 channels

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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