The Agent Hub is a governed orchestration platform — not a deployment catalogue. Enterprise AI agents that operate on federated data, under centralised governance, with every action explainable and every decision traceable.
Without governed agent hub, these problems compound silently with every new data source and AI deployment.
Teams deploy agents independently — each with its own data connections, governance rules, and absent audit trail. Shadow AI spreads faster than oversight can follow.
Credit workflows need document analysis, risk scoring, and communication — but agents can't share context or coordinate actions.
Agents on parametric memory produce confident but inaccurate outputs. Without RAG grounding in enterprise data, AI decisions fail regulatory scrutiny.
Select from the marketplace or onboard a custom agent via MCP — governance inherited on connection
LocalRAG connects agent to enterprise knowledge base — retrieval spans governed, federated data estate
Agent scope, data access, and decision authority governed by policy — not developer configuration
Agent mesh enables multi-agent workflows — governed handoffs, shared context, full audit trail
Every agent action logged — data consumed, decision made, confidence assigned, human oversight applied
Pre-built and custom agents deployed under centralised policy controls — every agent inherits governance, lineage, and explainability from the platform.
Multi-agent orchestration with governance continuity — agents invoke, delegate, and share context within the trust boundary, with every handoff logged.
Every agent grounded in retrieved enterprise data — local vector search, air-gapped deployment, close-to-zero hallucination, source-cited responses.
Bring agents from any framework — connect through MCP and immediately inherit federated data access and governance controls. No vendor lock-in.
See how Tantor's Agent Hub deploys AI at enterprise scale — with governance, grounding, and full decision auditability built into the architecture.