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Encrypted Intelligence for the Enterprise

Securing AI pipelines with Fully Homomorphic Encryption

Join us in our mission to lead humanity into an era of Encrypted Intelligence, where all AI pipelines are run on fully homomorphic encrypted cyphertext and biometric data-breaches are a thing of the past.

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Vision

Closing the Security Gap in AI

We deliver efficient and scalable countermeasures that seamlessly integrate with AI-powered systems

The Problem

Running AI pipelines in the enterprise fully on encrypted data without risking IP leakage or privacy compromise.

Our Vision

Liberate enterprises from having to make a leap of faith every time data is decrypted or someone decides to pass raw data through a machine learning model. All of enterprise intelligence and business logic can and should run on encrypted data alone.

Our Prowess

We currently have : • The world's fastest homomorphically encrypted biometric feature search algorithm that has been scaled to a gallery of at least 100 million. • The world's only end-to-end homomorphically encrypted face recognition system. • The world's only homomorphically encrypted biometric template fusion algorithm.

Try It Out

See Our Technology in Action

Experience our breakthrough homomorphic encryption technologies through our interactive demos. Watch our video introduction or visit our Hugging Face spaces to try our models yourself.

Ready to try our demo models?

Visit our Hugging Face spaces to experience our fully homomorphic encryption models and see the future of encrypted intelligence.

Suraksh.AI on Hugging Face Histopathologic Cancer FHE Demo
Bibliography

Award-Winning Research

Our founders have accrued more than 8000 academic citations combined through their peer-reviewed research work. Here are some canonical examples:

1. PrivaCT: Circuit Privacy in Constant Time for FHE Evaluation of Functions
Under Review
2. SecureRAG: End-to-End Secure Retrieval-Augmented Generation
Under Review
3. CryptoFace: End-to-End Encrypted Face Recognition
CVPR 2025
4. AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE
USENIX 2024
5. HERS: Homomorphically Encrypted Representation Search
TBIOM 2022 Best Paper Award
6. HEFT: Homomorphically Encrypted Fusion of Biometric Templates
IJCB 2022 Best Paper Award
7. Detection of Adversarial Inputs through Entropy of Saliency Maps
CVPR CVCOPS 2019
8. Understanding Adversarial Robustness Through Loss Landscape Geometries
ICML 2019
9. Model weight theft with just noise inputs: The curious case of the petulant attacker
ICML SPML 2019