Real-time predictions for encrypted data

Semiotic AI is an encrypted computing company addressing the need for enterprises to gain insights from their most sensitive data while still benefiting from public computing infrastructure.

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Founded by industry, national lab, and academic experts in AI and crypto engineering, Semiotic is making Fully Homomorphic Encryption practical for a wide range of computing applications.

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Download "Introduction to Encrypted Computing" whitepaper

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GENOMICS AND PRECISION MEDICINE

Genomics offers techniques to screen for rare conditions, but the risk of exposing patient data has prevented leveraging cloud solutions. FHE makes it possible to deploy privacy-preserving genomics and precision medicine algorithms to the cloud.

Fully Homomorphic Encryption makes it possible to analyze and compute with encrypted data without revealing the data to anyone.

  • Enables leveraging of untrusted resources e.g. cloud computing, uncontrolled networks.

  • Facilitates information sharing across authority boundaries without sacrificing methods.

  • Provides protection for commercial data such as medicine and finance.*

* Based on DARPA DPRIVE FHE accelerator initiative.

Team

Ahmet Ozcan, Ph.D.

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CEO & Co-founder

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Sam Green, Ph.D.

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CTO & Co-founder

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Prof. Çetin Kaya Koç

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Chief Scientist & Co-founder

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Principal Scientist & Co-founder

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Alexis Asseman

 

Lead Developer & Co-founder

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Matt Deible

 

Research Intern

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Semiotic AI, 127 2nd St., Ste. 2, Los Altos, CA 94022