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.
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.
Support channels
Ask technical questions and discuss with the community. Our team of experts usually answers within 24 hours in working days.
Developers
Collaborate with us to advance the FHE spaces and drive innovation together.
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.
Last updated