Federated Agentic AI
Agentic AI for a decentralized world
Build, evaluate, and deploy AI agents on data that must stay where it lives. Any framework. One control plane.
The Problem
The leading agent frameworks are powerful for building agents. They assume data can flow freely into a shared pipeline. Claims adjustment files can't. Patient records can't. Financial transaction data spanning institutions can't. The result: enterprises get agents trained on the data they can access rather than the data they need, or programs stall at the governance review stage. The centralization assumption, not the capability gap, is what blocks deployment.
Why Rhino
Context
Create a unified intelligence layer across sites for your agent fleet
Access
Unlock data that was previously off-limits without changing your governance posture
Speed
Go from pilot to production without each data site standing up its own agentic infrastructure
Observe
Govern and observe across all sites from a single control plane
Build. Evaluate. Deploy.
Build — Develop agent workflows in any framework you already use. Deploy to client nodes at each data site. Agents run compute near the data; no raw documents leave their source.
Evaluate — Run performance assessment across sites under federated conditions. Subject matter experts score agent outputs locally. Evaluation metrics — not documents — return to the orchestrator.
Deploy — Production agents run continuously at each site. Centralized observability across all zones: retrieval hit rates, tool call patterns, latency, policy flags. Guardrails configured centrally, enforced per zone.
Don't have infrastructure to self-host? Rhino deploys client nodes as managed VPCs on your behalf.
Platform Power
Rhino’s Federated Computing Platform undergirds every solution and customer success we deliver.
Compliant by Design
Audit-ready logging across every action and activity
Multi-Level Security and Privacy Protection
All the basics, and differential privacy, enterprise key management, confidential computing, and more thrown in
Open and Agnostic
Bring your own cloud, bring your own tech stack
Secure MCP Server
We just launched the world's first secure MCP for federated computing. Use plain language to explore data across sites, perform semantic and syntactic data harmonization, train models, and run inference – all without writing a single line of code.
