Company·
Oxagen Opens Beta Signup: One Ontology for Teams and AI Agents
By Oxagen, Inc.
- beta
- ontology
- AI agents
- MCP
- knowledge graph
San Francisco, Calif. — April 22, 2026 — Oxagen, Inc. today announced that signup for the Oxagen platform beta is open. Oxagen is the ontology layer for AI agents — a typed, queryable Neo4j-backed knowledge graph that teams and agents use together instead of maintaining parallel, inconsistent context stores.
Developers and platform owners can request platform access and complete beta signup at https://www.oxagen.ai/beta. The same URL can be used in campaigns, social posts, and email to drive traffic to the form.
From connections to a living ontology in minutes
Oxagen is built for time to value measured in minutes, not months. Connect approved source systems, map how data should flow, and the platform materializes a workspace-scoped graph: entities, relationships, and types you control. Traversal and retrieval run against that schema, not a one-off vector pile. First integrations to a working graph are designed to land in a single sitting for typical setups, so your team can move from empty workspace to auditable structure fast.
Graphs that build ontologies from what you connect
Static imports age poorly. Oxagen’s model starts from source connections — the systems of record and collaboration tools you already use — and turns them into a typed ontology your policies govern. The graph is the contract: which nodes exist, how they link, and what an agent is allowed to assume. That is a different problem than "more chunks in a vector index," and it is what lets you answer multi-hop questions with deterministic, explainable paths instead of a single opaque similarity score.
Self-improvement on top of structure
Self-improving behavior in production depends on what persists. When feedback, corrections, and new facts land in a schema-first store, the system can improve across runs: the ontology and its constraints tighten, retrieval matches the shape of the domain, and agents stop rediscovering the same dead ends. Oxagen is built to support that loop without throwing away the graph discipline that makes outputs auditable for security and compliance stakeholders.
One ontology for you and your agents
People and software should not maintain two incompatible pictures of the company. In Oxagen, you and your agents share the same brain in the only sense that holds up in production: one shared ontology — one set of entity and relationship types, one MCP-native access path for tools and UIs, one place to run governed retrieval and graph traversal. Your agents query what your team has validated. Your team inspects and edits what agents rely on. Divergence is a bug, not a feature.
Who this is for
Oxagen is ontology infrastructure for teams shipping AI agents against internal and connected data. If you are tired of gluing vectors, ad hoc SQL, and prompt scaffolding into something you cannot explain to a reviewer, the beta is the place to test a graph-native path.
Get started: Complete beta signup at oxagen.ai/beta.
About Oxagen
Oxagen delivers the ontology layer for AI agents — a typed, Neo4j-backed knowledge graph that agents query over MCP, workspace-scoped and schema-governed. https://www.oxagen.ai
Media contact