Organizations Using privacy-preserving-compute for Confidential Compute, Secure Multi-Party Collaboration, and Privacy-Preserving Machine Learning
Discover organizations tagged with privacy-preserving-compute that develop confidential compute platforms, MPC frameworks, homomorphic encryption services, and secure enclave integrations to enable secure multi-party data collaboration and privacy-preserving machine learning. This curated list of organizations shows technical stacks, deployment models (trusted execution environments, federated learning pipelines, and hybrid cloud-confidential VMs), common use cases for compliance (HIPAA, GDPR) and verifiable computation, plus performance and scalability trade-offs. Use the filtering UI to compare vendors, view open-source projects, evaluate integrations with cloud and blockchain infrastructures, and request demos or contact teams to accelerate secure data collaborations—explore profiles to find partners, grants, or contributors driving privacy-first compute innovation.
