Federated Agentic AI
Build, evaluate, and deploy AI agents on data that must stay where it lives with any framework
Company profile
Company profile
Rhino Health (operating as Rhino Federated Computing) is a federated computing platform company that solves critical challenges in AI and data collaboration by enabling organizations to work with siloed data without centralizing it. The company's core technology allows data science teams, AI developers, and enterprises to run the full data science stack—exploration, preparation, analysis, model training, validation, and inference—across distributed data environments while maintaining complete control and compliance. Rhino's platform eliminates the traditional bottleneck of data sharing agreements and centralization requirements that delay AI programs in regulated industries. The company offers multiple solution areas: Federated Data Science for running analytics and model training where data lives; Federated Model Networks that allow AI vendors to deploy proprietary models to client environments without exposing model weights or requiring data transfer; Federated Agentic AI for building and deploying AI agents across decentralized data; and RhinoDHE, a GenAI-powered data harmonization engine for transforming data to common models like FHIR and OMOP. The platform features edge computing architecture where data never leaves its source, comprehensive security with differential privacy and confidential computing, and support for any cloud or on-premise deployment. Rhino serves healthcare systems, life sciences companies, public sector organizations, and financial services firms that need to collaborate on sensitive data while satisfying strict governance, privacy regulations, IP protection, and contractual obligations. The platform is designed for regulated enterprises where data cannot be freely centralized, enabling them to build better AI models with more diverse, multi-modal datasets across organizational boundaries.
Company description Rhino Health official website
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
No clinical focus areas are currently listed.
Cloud Saas · Hybrid deployment with recorded integration context.
Company milestones
Launched world's first secure MCP server for federated computing enabling plain language data exploration and model training; Federate AI Summit 2026 scheduled for October 19 in Boston MA
Partnerships
No partners are currently listed.
02 · Flagship portfolio
Selected source-backed Company products and the available commercial context.
Build, evaluate, and deploy AI agents on data that must stay where it lives with any framework
Run the full data science stack across distributed data environments with full control and compliance
Deploy proprietary AI models at enterprise scale without shipping weights or receiving client data
Secure, scalable software for federated learning and collaborative data processing without centralized storage
Gen-AI powered data harmonization for FHIR transformation with human-in-the-loop validation
World's first secure MCP for federated computing with plain language data exploration and model operations
03 · Research intelligence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Proceedings of SPIE--the International Society for Optical Engineering · Feb 1, 2024
AI in Pathology: What could possibly go wrong?Seminars in diagnostic pathology · Mar 1, 2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.Health informatics journal · Jan 1, 2023
Key considerations for the use of artificial intelligence in healthcare and clinical research.Future healthcare journal · Mar 1, 2022
Clinical validation
No linked records are currently available.
Regulatory
No linked records are currently available.
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Compress months of data sharing negotiation to weeks of deployment
Access to more and more meaningful data reduces time to value for data collaborations
05 · Leadership
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Recent articles published on Rhino Health's official website.
07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies providing generative AI platforms, large language models (LLMs), foundation models, or broad AI infrastructure specifically designed for healthcare applications. These companies serve multiple clinical use cases across the health system rather than focusing on a single clinical application or disease area.
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