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We do the {math} so you don't have to.

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We do the {math} so you don't have to.

Data privacy, security and usability are no longer mutually exclusive.

Inpher’s Secret Computing® technology enables advanced analytics and AI models to be trained on encrypted data, keeping it private and secure while utilizing its full value.  Large enterprises in regulated industries are leveraging this capability to securely outsource workloads to the cloud, build privacy-compliant machine learning models with sensitive federated data, and even monetize insights without compromising proprietary information.  

Advances in cryptography and zero-knowledge computing have promised to revolutionize the way we securely and privately process sensitive data.  The XOR Secret Computing™ Engine provides the first practical and scalable commercial solution to run machine learning algorithms and train your AI on sensitive information without ever exposing the data.  Check out how customers are using XOR today, available as a SaaS or on-premise solution.

For more information about joining our private beta, please contact us below.


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TFHE is the world's fastest open-source fully homomorphic encryption library, and it keeps getting faster.  The underlying scheme is described in the best paper of the IACR conference Asiacrypt 2016: “Faster fully homomorphic encryption: Bootstrapping in less than 0.1 seconds”, presented by Ilaria Chillotti, Nicolas Gama, Mariya Georgieva and Malika Izabachène.

Git your encrypted compute on at https://tfhe.github.io/tfhe/ and join the conversation on Hacker News!