Rhino Federated Computing

Rhino Federated Computing is a specialized AI and data platform that addresses one of the most significant challenges in modern data science: the inability to leverage siloed, decentralized data across organizational boundaries. By seamlessly connecting distributed data sources through federated computing, Rhino enables secure AI in drug discovery, analytics, and broader life sciences research without ever requiring raw data to leave its source.

The platform is designed for organizations that need to collaborate on sensitive data while maintaining strict control over security, privacy, and data sovereignty. Rhino serves research institutions, pharmaceutical companies, and data-driven life sciences organizations that require trusted research environments and a harmonized data layer to unlock the full value of their data assets.

Core Platform Capabilities

• Federated Computing: Rhino's platform connects siloed data sources through a federated architecture, enabling analytics and machine learning to run at the edge — directly where the data resides — without transferring raw data to a central location.
• Data Harmonization: The platform includes a harmonized data layer that standardizes and aligns decentralized data sources, making them ready to activate for collaborative research and AI workflows.
• Edge Computing: By taking AI to the edge, Rhino ensures that data are never transferred and always remain under the control of the originating organization, preserving data sovereignty at every step.

Security, Privacy, and Governance

• Rhino is built on the principle of sharing insights, not raw data, ensuring that sensitive information never leaves its source environment.
• The platform provides robust security, privacy protections, and governance frameworks to support compliant data collaboration across institutional boundaries.
• Organizations can maintain full control over their data while still participating in large-scale federated networks and multi-party research initiatives.

Collaboration and Scale

• Rhino enables organizations to connect, process, and scale data collaborations through its federated computing platform, reducing the time to value for joint research and analytics projects.
• Access to more — and more meaningful — data is unlocked by eliminating the barriers that traditionally prevent cross-institutional data sharing.
• The platform supports the building of federated networks, allowing multiple data owners to contribute to shared AI and analytics initiatives without compromising data security or sovereignty.

Rhino Federated Computing empowers life sciences organizations to break free from data silos and accelerate AI-driven discovery by enabling secure, privacy-preserving collaboration at scale across decentralized data environments.