AI outputs that matter must be provable before anyone sees them.
Ontic verifies consequential claims against authoritative evidence before they reach customers, regulators, or operations. No evidence, no emission.
The gate is not the model.
When a model gets it wrong and nobody catches it, someone acts on the wrong answer. That’s the liability gap.
The model is a probability engine. It returned the most probable answer. Nothing upstream constrained the question. Nothing downstream verified the answer. That’s the gap Ontic fills.
No evidence, no emission.
Three environments. Pick the one that matches your risk.
Start with visibility. Move to enforcement when the consequences require it.
Not sure? Answer five questions. Find out.
Built for regulated industries
Same governance pattern, adapted to different evidence models and regulatory pressure.
How we're different
Smarter models don't solve this. Post-hoc guardrails don't solve this either. Ontic makes governance structural — the model never decides when it's allowed to assert authority.
Meet Goober
We didn't just build governance tooling. We trained the model. Goober is an 8B parameter model fine-tuned by Ontic Labs — it runs on a single CPU, ships inside the Clean Room appliance, and proves you don't need a trillion parameters. You need the right eight billion, plus the right scaffolding.
Meet Goober →Answer five questions. Hand the report to your auditor.
The risk profile wizard generates a compliance posture report — what enforcement you need, what components are required, and which regulations it maps to. It’s a document your auditor, regulator, or board can actually read.
Generate Your Report