SafeLiShare

SafeLiShare provides a data and AI collaboration platform focused on confidential computing. The company's technology allows organizations to process, share, and monetize sensitive or regulated data and AI models without moving the underlying data or exposing it to unauthorized parties. The platform uses secure enclave technology to create trusted execution environments where workloads from mutually untrusting parties can be processed while remaining encrypted. This approach aims to reduce data exposure risk from attackers, insiders, supply chain compromises, and cloud providers by keeping data invisible during computation rather than requiring de-identification. SafeLiShare's offering addresses AI and machine learning governance across the model lifecycle, including planning, training, and serving stages. Features include cryptographically signed, tamper-proof audit logs for tracking data and model access, policy controls for defining who can access, use, and distribute models and data, and centralized visibility into AI workflows for compliance purposes. The company targets organizations handling sensitive data such as PII and PHI, including data analysts, security and IT teams, and executives concerned with data governance, cloud egress costs, and the risks associated with untrusted data and models. SafeLiShare positions its platform as a way to enable secure data sharing across business functions and with external parties while maintaining data residency and ownership.