Confidential Data Room
A confidential computing platform for secure, collaborative AI training. Users can create encrypted data rooms, contribute data, and train AI models in a secure enclave. Queries to the trained model are strictly enforced by data owner-defined rules, ensuring privacy, security, and control over sensitive information
Our solution leverages confidential computing to enable secure, collaborative AI model training. Users can register, create data rooms, and invite others to contribute encrypted data. This data remains confidential at every stage and is used to train AI models within a secure enclave. Once the model is trained, users can query it, but every query is checked against access rules set by the data owners who contributed the data. This ensures privacy, security, and control over sensitive information while enabling privacy-preserving AI insights.
Use Cases:
Healthcare & Biomedical Research – Securely train AI models on sensitive patient data across institutions without exposing raw data.
Finance & Banking – Enable fraud detection and risk analysis while keeping customer financial data encrypted.
Government & Defense – Collaborate on intelligence analysis without sharing raw classified data.
Enterprise AI & Supply Chain – Share insights across companies while ensuring data confidentiality.