Stardog Semantic AI Platform

Stardog is a knowledge graph and semantic AI company whose footer lists its address at 2101 Wilson Blvd, Arlington, Virginia. It provides a platform that connects enterprise data where it lives and adds the business context that AI agents need, serving financial services, government, life sciences and manufacturing.

The Semantic AI Platform combines an ontology-driven semantic layer, federated queries and graph data virtualization, so data is queried without being copied. Products include Stardog Cloud, Voicebox (a conversational data assistant), Explorer, Designer, Studio and Connectors. Case studies on the site name NASA, Boehringer Ingelheim, NIH and Springer Nature. In June 2026 the company introduced the Semantic Control Plane as an evolution of the platform.

• Semantic layer: ontology-driven models of concepts, relationships and rules.
• Graph data virtualization: queries data in place across connected sources.
• Stardog Voicebox: conversational AI assistant for questions over the knowledge graph.
• Explorer, Designer and Studio: tools for browsing, modelling and querying graphs.
• Connectors: links to sources such as AWS, IBM DB2, Jira and Hive.
• Deployment: Stardog Cloud, with VPC deployment for Voicebox added in the 2025.1 release.

• A Vietnamese bank unifying risk and customer data into one semantic layer for compliance reporting.
• A pharmaceutical or medical-device company linking research, regulatory and supply data.
• A manufacturer tracing parts and suppliers across ERP and quality systems.

• Data stays in source systems because federated queries and virtualization avoid copying.
• A shared ontology gives analysts and AI agents consistent business definitions.
• Voicebox lets non-technical users ask questions of connected data in natural language.
• The site claims up to 57x better price and performance from its graph engine (vendor claim).

Enterprises are looking for a governed semantic layer so AI agents answer from trusted, explainable data rather than raw tables. Knowledge graphs and ontologies are a common route to that. In Vietnam, banks, state-owned enterprises and pharma or manufacturing groups with scattered data sources are starting similar data-fabric and AI-readiness projects.

Address in Arlington, Virginia (per site footer). Partner program includes a Semantic Layer for Databricks solution.