The AI Marketplace 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 AI Marketplace, 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 AI Marketplace deploys AI at enterprise scale — with governance, grounding, and full decision auditability built into the architecture.
The AI Marketplace is a governed orchestration platform where enterprise AI agents are deployed, governed, and orchestrated on federated data. Every agent — pre-built or custom — inherits the platform's governance, lineage, and explainability, with every action auditable.
An agent mesh is multi-agent orchestration with governance continuity — agents invoke, delegate, and share context within one trust boundary, and every handoff is logged. The AI Marketplace's mesh lets agents run complete governed business processes rather than acting as isolated point solutions.
Every agent in the AI Marketplace is grounded in retrieved enterprise data through LocalRAG — local vector search with source-cited responses and close-to-zero hallucination. Air-gapped deployment keeps grounding data within your perimeter.
Yes. The AI Marketplace is MCP-native, so you can connect agents from any framework and they immediately inherit federated data access and governance controls — no vendor lock-in, full AI sovereignty.
