Book a Meeting
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San Francisco - June 15-18, 2026
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Moscone Center
What It's About
Meet the Stardog team at the Databricks Data & AI Summit 2026 in San Francisco (June 15–18) at Booth #654. We’re proud to be an Innovator Sponsor this year.
Stardog is a Semantic AI Platform that unifies enterprise data by meaning, creating a connected, governed foundation for how organizations use information.
A semantic layer links data across systems and embeds business context directly into enterprise data, enabling consistent interpretation across analytics, applications, and AI.
Stardog strengthens AI with human intelligence and business context, reducing silos, limiting hallucinations, and bringing transparency to black box systems.
Even a brick wants to be something. With Stardog, build your agentic enterprise on a lakehouse powered by a semantic AI platform.
Book a meeting with us to see how semantic AI can ground your AI initiatives in business with human intelligence.
What You'll Learn
Visit our booth to see the Stardog + Databricks integration in action. We will focus on the broader impact of a Semantic AI Platform within your AI stack at your organization:
Join our session by Navin Sharma, Chief Product Officer" to learn more about "Implementing Agentic AI on Databricks with an Ontology-Driven Semantic Layer"
Discover how Stardog integrates with Delta Lake and Unity Catalog to ground LLM-based agents in business context, enable real-time semantic querying beyond traditional RAG, and improve AI performance across enterprise use cases like supply chain, drug discovery, and compliance.
- Semantic Layer for Unity Catalog: Learn how to extend Unity Catalog’s governance with a semantic layer via the Stardog Knowledge Graph-Powered Semantic AI Platform.
- Accelerate AI Time-to-Value: Learn how a unified Semantic AI Platform cuts months off the data preparation cycle, allowing you to move from GenAI pilots to production-ready applications faster.
- AI Readiness: Why a robust Semantic AI Platform is the only way to ground LLMs in enterprise-specific facts and logic.