Concrete
Lib
Concrete is an open-source homomorphic encryption library that is simple, fast, and secure.
Concrete
ML
Allows data scientists to automatically turn Machine Learning models into their FHE equivalents.
Concrete
Numpy
An open-source set of tools which aims to simplify the use of FHE for data scientists. Concrete Numpy underpins our ML solution.
Concrete
Boolean
Built on top of concrete-core, concrete-boolean can execute boolean circuits of any length in an encrypted way.
Concrete
Core
A set of fast, low-level primitives which can be used to implement FHE programs.
Community participation
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Explore more content about the Concrete Numpy library

Announcing Concrete ML v0.2
We are announcing the release of Concrete ML as a public alpha. The package is built on top of Concrete Numpy.
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Quantization of Neural Networks for Fully Homomorphic Encryption
Machine Learning and the Need for Privacy
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Privacy-preserving insurance quotes
A tutorial on how to build an FHE-enabled insurance incident predictor.
Read ArticleExplore more content about the Hummingbird library

Announcing Concrete ML v0.2
We are announcing the release of Concrete ML as a public alpha. The package is built on top of Concrete Numpy.
Read Article.png)
Quantization of Neural Networks for Fully Homomorphic Encryption
Machine Learning and the Need for Privacy
Read Article.png)
Privacy-preserving insurance quotes
A tutorial on how to build an FHE-enabled insurance incident predictor.
Read Article