Cornami for Secure Data Sharing
Data collaboration is essential—yet privacy, compliance, and security remain critical barriers. Cornami enables organizations to analyze and share sensitive data without ever exposing it, delivering real-time, encrypted compute that scales across industries and borders.
Private Collaboration, Without Compromise
- Run analytics and AI directly on encrypted data with Fully Homomorphic Encryption (FHE)
- Share insights across institutions without revealing raw data
- Support privacy-preserving ML (PPML) and federated AI pipelines
- Enforce zero-trust compute—no enclaves, no intermediaries
- Future-proof collaboration with post-quantum encryption (PQE)
Challenges
- Traditional methods (e.g., de-ID, secure enclaves) are fragile and slow
- Data privacy laws (HIPAA, GDPR, CCPA) restrict how and where data can move
- Quantum threats risk long-term exposure of sensitive archives
- Current PPML tools can’t meet real-time or large-scale demands
The Cornami Advantage
Cornami’s unique approach combines secure, parallel, and deterministic computing with support for privacy-preserving and post-quantum technologies. This empowers organizations to meet modern compute challenges at scale with confidence.
Use Cases
Healthcare: Share and analyze encrypted PHI across hospitals and labs
Finance: Collaborate on fraud, credit, and AML risk models—securely
Government: Enable classified or cross-agency analytics with trustless compute
Supply Chain: Jointly model disruptions without revealing sensitive operations