The semantic layer that makes enterprise data understandable to AI agents — model entities and relations once, query through SPL/MCP/REST, and connect telemetry, services, and business objects in one object graph.
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
The ontology is the software. One executable business ontology: AI writes it, the runtime runs it, agents operate it, you own it. Open protocol & runtime, Apache-2.0.
Connect ontology-grounded context graphs with deterministic AI agent governance to enforce business rules before execution and preserve decision evidence.
BKN Foundry is the Ontology back-end foundation of OpenBKN. It transforms ontology-driven business semantics into runtime services: data, logic, actions, security governance, and observability.
