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Over55IT
ONTOGOVERNED KNOWLEDGE
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ONTOLOGY GOVERNANCE FOR AI

Knowledge your AI can use.
Evidence your people can trust.

ONTO turns the technical and functional evidence you already have into governed, reviewable ontology knowledge. It gives AI agents a clear operating boundary: what is approved, what it means, and where it came from.

Discuss an ONTO pilot Explore the factory
01
Canonical ontology model
03
Connected product capabilities
0
Uncontrolled source writes
ARCHITECTURE AT A GLANCE
ONTO Governance Factory: Atlas assesses source evidence, Nexo validates an ontology release, and Argos provides trusted AI runtime answers.
From scattered organizational data to governed, AI-ready knowledge.

Enterprise data is not automatically AI-ready.

The missing layer is governed meaning.

THE ONTO FACTORY

A disciplined path from evidence to answer.

ONTO keeps assessment, approval, and consumption intentionally separate. That prevents early discoveries from quietly becoming official definitions, and prevents an AI runtime from stepping beyond the approved release.

01 / ATLAS

Readiness assessment

Atlas maps the available technical and functional evidence for a domain, identifies gaps, and produces a reproducible baseline.

  • Inventories metadata, models and documentation
  • Preserves source hashes and evidence references
  • Scores readiness and exposes the gap backlog
OUTPUT: ASSESSMENT PACKAGE
02 / NEXO

Registry and validation

Nexo turns evidence into reviewable candidates, records decisions, and emits an approved, reconstructible ontology release.

  • Separates candidates from approved knowledge
  • Captures human review, authority and rationale
  • Creates context packs and publication-ready mappings
OUTPUT: ONTOLOGY RELEASE
03 / ARGOS

Trusted runtime

Argos investigates an approved release with evidence, controlled read-only operations, and explicit abstention when limits are reached.

  • Uses only approved concepts, bindings and sources
  • Never accepts free-form SQL from a question
  • Explains when evidence, permission or detail is missing
OUTPUT: EVIDENCE-GROUNDED ANSWER

ARCHITECTURE WITHOUT LOCK-IN

Two planes. One governed contract.

Where data lives and where ontology knowledge is governed are different decisions. ONTO makes the boundary explicit, so your existing platform choices remain yours.

DATA PLANE

Read metadata and authorized operational data.

Fabric, Databricks and Snowflake are target platforms. The available metadata, sources, bindings and governed read-only results are verified for each pilot; generic integration with every platform is not assumed.

FABRICDATABRICKSSQLSEMANTIC MODELS
ONTOLOGY PLANE

Govern what knowledge means and who approved it.

ONTO maintains a canonical release with evidence, decisions and mappings. It can prepare packages for external systems without turning them into automatic authorities.

CANONICAL JSONJSON-LD / RDFEXTERNAL MAPPINGS
Argos runtime displaying an answer with its evidence and source references.

THE FOUNDATION OF TRUST

AI can suggest.
People and rules decide.

ONTO does not turn an LLM inference into an official definition. It keeps evidence, confidence, human review and authority visible from the first assessment to the final runtime response.

Evidence over inferenceEvery approved element traces back to a source or human decision.
Human-in-the-loopReview is a product capability, not a manual afterthought.
Abstention by designArgos says when a question is outside the approved evidence.

PILOT EVIDENCE

Prove the approach in a bounded domain.

ONTO is delivered today as a local, single-application pilot. The objective is practical: validate a governed knowledge path before committing to a larger operating model or external publication.

Plan a scoped ONTO pilot
33
tables inventoried in a validated schema-first case
451
traceable ontology candidates produced for review
5
controlled, read-only operational query templates
6/6
passed runtime evaluation cases in the Fabric pilot

CLEAR BY DESIGN

What ONTO does not claim to be.

Not a replacement for your data platformNot a replacement for your catalog or data governanceNot an autonomous ontology generatorNot an external publishing engine in the current MVP

START WITH THE EVIDENCE YOU HAVE

Build the governed knowledge layer before asking AI to reason over your enterprise.

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