federated computing for
Public Sector
Proactive Surveillance
Analyze real-time health data securely, detecting disease signals and linking datasets without transferring sensitive information.
Responsible AI Development
Securely train models on diverse, distributed datasets, ensuring privacy, reducing bias, with the ability to test & and validate efficacy across populations.
Quality & Safety Measure Development
Enable collaboration across sites to harmonize data, run analytics, and train models, advancing development of quality and safety measures while ensuring data privacy.
Decentralized Data Repositories
Create, maintain, and provision access to multimodal datasets residing across multiple data custodian orgs without requiring data transfer.
