Knowledge Graph Innovation for Agentic AI and Neuro-Symbolic Applications

From connected enterprise data to context-aware AI. Give AI agents access to the relationships, rules, history, and evidence they need to understand your business—not just generate an answer.

AllegroGraph combines enterprise Knowledge Graphs, vector search, symbolic reasoning, and GraphTalker’s agentic natural-language interface to help organizations build more grounded, explainable AI applications.

A Unified Approach - Four Technologies. One Enterprise AI Foundation

  • Context Graphs – The Semantic Foundation for AI Agents. Connect entities, relationships, policies, events, history, and provenance in a persistent knowledge layer. Give agents the context needed to understand not just what is known, but why it matters. Explore AllegroGraph

  • Neuro-Symbolic AI – Combine Language with Logic. Combine the language understanding of LLMs with graph semantics, vector search, SPARQL, and rules. Let each technology do what it does best for more grounded and inspectable AI analysis. Explore Neuro-Symbolic AI

  • GraphTalker – Agentic AI with Learning Enterprise Memory. Ask questions in natural language while GraphTalker inspects schemas, executes queries, and refines its approach. Save successful work and preserve reviewed expert guidance as managed, version-controlled context. Explore GraphTalker

  • Enterprise Graph Infrastructure – Scale, Security, and Governance. Support demanding enterprise applications with RDF, SPARQL, OWL, SHACL, FedShard, fine-grained security controls, replication, and high availability. Explore the Platform

For more info, send email or call us, +1 (510) 452-2000