The gate that should have been there all along.

Ontic sits between your app and your model. Checks claims against your data. Evidence found: claim goes through. Evidence missing: blocked. Everything logged.

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Three environments

Choose by consequence: begin with visibility, move to enforced authority, then full defensibility when required.

The Studio

Assists judgment · Fails soft

Without this: AI outputs reach users with no label, no log, no trail. You find problems when someone complains.

Makes uncertainty visible. Surfaces gaps. Tags outputs as verified or unverified. Humans remain responsible for judgment.

• Unverified claims get labeled, not blocked
• Full audit trail of what was said and when
• Set up in hours, no model changes needed

The Designer — using tools to explore, draft, and solve problems dynamically.

The Collaborator — expected to read labels, verify sources, and exercise judgment.

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The Refinery

Enforces authority · Fails closed

Without this: claims go out unchecked. The first person to discover a wrong answer is the person who acted on it.

Claims are verified against your registered data sources before anyone sees them. No evidence, no emission.

• Claims blocked unless backed by your data
• If something's missing, the system says what it needs
• Built for regulated and customer-facing AI

The Engineer — managing a continuous process where raw inputs must be purified into reliable outputs.

The Customer — should never see uncertainty or internal debate.

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The Clean Room

Enforces defensibility · Fails hard

Without this: you can assert the system works. You can’t prove it. A regulator or court will notice the difference.

The entire chain — from question to data lookup to model to answer — is signed and provable. Bypass is structurally impossible.

• Every step in the chain is cryptographically signed
• Execution runs in a verified, tamper-proof environment
• For clinical, life-safety, and legal defensibility

The Auditor — operating under inspection, where mathematical proof matters more than intent.

The Regulator — doesn't consume the output; they examine the chain of custody.

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With and without the gate

Without Ontic

Model answers. Nobody checks. Customer acts. You find out later.

With Ontic

Model answers. Ontic checks. Evidence found: answer goes through. Evidence missing: blocked. Everything logged.

“Ontology” sounds scarier than it is.

In practice, it's usually just a list of fields the AI needs to know before it's allowed to answer. If you have a database schema, a JSON contract, or even a spreadsheet — you already have most of an ontology.

This is usually the first practical step from pilot behavior to governed behavior.

New to the terminology? Start with Ontology and Gate.

Which environment in 30 seconds?

Answer two questions and find out. Or see the full architecture, governance matrices, and deployment path.

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