Webinar

Building Enterprise AI Agents with Claude and an Ontology-Driven Semantic Layer

  • clock-black
    Oct 28, 2026 @ 12PM ET

Register Now

What It's About

Claude gives enterprises powerful reasoning and agentic capabilities. But to operate reliably across the business, AI agents need more than access to an LLM. They need trusted enterprise knowledge, shared business definitions, relationships, and governed access to the systems where that information lives.

In this webinar, we’ll show how Stardog’s knowledge graph-powered semantic layer can give Claude the enterprise context it needs to move from general-purpose AI to an agent that understands your business.

You’ll see how Stardog connects fragmented enterprise data, how ontologies provide Claude with a consistent understanding of business concepts and relationships, and how Model Context Protocol (MCP) can connect Claude to governed enterprise knowledge.

Together, Claude and Stardog provide an architecture for building AI agents that can reason across enterprise information while keeping context connected, explainable, and grounded in the organization’s data.

Meet our Speaker

What We'll Cover:

  • Give Claude the Context of Your Business
    See how Stardog creates a reusable semantic layer across enterprise data so Claude can understand the meaning and relationships behind customers, products, suppliers, assets, policies, and other business concepts.
  • Connect Claude to Enterprise Knowledge with MCP
    Explore how Stardog’s MCP capabilities can connect Claude Desktop, Claude Code, and other MCP-compatible applications directly to governed enterprise knowledge.
  • Go Beyond Traditional RAG
    Learn how knowledge graphs and ontologies provide structured business context that complements document retrieval and vector search, helping Claude reason across relationships and data that may span multiple systems.
  • Keep Agents Grounded and Explainable
    See how an ontology-driven semantic layer gives agents a consistent foundation for reasoning while providing greater visibility into the enterprise data and relationships behind their responses.
  • Respect Existing Data Access and Governance
    Understand how an enterprise semantic layer can give agents access to distributed data without requiring organizations to consolidate everything into another AI-specific data store.
  • See the Architecture in Action
    Walk through a practical architecture connecting Claude, MCP, Stardog, enterprise ontologies, and existing data sources to support production agentic AI applications.