Ontology-conditioned inference
The ontology is the model’s worldview.
Every Ontolith deployment is grounded in a structured model of your enterprise: your people, roles, systems, policies, and workflows, injected at inference time. The model reasons over your entities and your rules, not generic world knowledge.
This is how a 5B model beats a 400B model on enterprise tasks: it is not smarter, it is informed.
Grounded, not guessed.
A general model asked to execute an “approval workflow” hallucinates what one typically looks like. An Ontolith model reads your actual approval chain: who can approve what, under which policy, in which system. The ontology carries it as structured grounding into every inference.
The result is execution that respects your org chart, your entitlements, and your compliance boundaries by construction, not by prompt engineering.
One ontology, three jobs
The ontology powers more than inference.
Inference grounding
Injected as structured context at inference time, so every plan, tool call, and structured output is conditioned on your enterprise reality.
Fleet routing
The ontology maps workflows to the specialized models that own them. It is how the smart router knows which model is capable of which request.
Certification evidence
Every model passport records exactly which ontology version grounded each deployment, audit-grade provenance for regulators and certifiers.
Evaluation sandbox
Bring your workflow. We’ll bring the worldview.
An evaluation sandbox includes a scoped ontology of one workflow, enough to demonstrate grounded execution against your own systems and policies.