Introducing Concrete Numpy > check it out on Github
End-to-end encryption for AI
Zama is an Open Source framework for securing AI applications in the cloud.
Train your model anyway you want. Zama secures the inference.
Using breakthrough homomorphic encryption, Zama enables any trained network, regardless of its architecture or training method, to run inference on encrypted user data.
Integrating Zama is a seamless process
Protecting your users’ Privacy should not require expertize in cryptography. Zama automates the conversion and deployment of your trained neural network into a secure, cryptographic equivalent.
Compile your trained neural network into a homomorphic program
Deploy a homomorphic runtime to execute your compiled program
Integrate the client side SDK to securely query the homomorphic runtime
Hardware accelerated
Microservice oriented
No retraining necessary
Open Source
Works with any neural network
Written in Rust
Create your own homomorphic
programs with
the high performance FHE library
Concrete is an easy to use FHE library for cryptographers and engineers. It enables fast prototyping and development of complex homomorphic applications, such as Zama’s AI framework.
Programmable Bootstrapping
Evaluate any function homomorphically, in only a few milliseconds.
Written in Rust
Concrete is written in rust, making fast, reliable and easily extensible.
Open Source
Concrete is available in open source. We welcome contributions of any kind!