About Ontic Labs
Governance infrastructure for AI systems in consequential domains.
Our Mission
We build governance infrastructure that enforces Reality Fidelity — preventing AI systems from emitting authoritative outputs unless required state and provenance are present.
Our mission is to ensure AI systems in consequential domains — healthcare, finance, legal, child safety — can be trusted to make decisions only when they have complete, verified information.
Our Values
Epistemic Humility
We acknowledge the limits of what AI systems can reliably know and act upon.
Architectural Integrity
We believe safety must be built into system architecture, not bolted on as an afterthought.
Transparency
Every output traces back to verified source data with complete audit trails.
Consequential Focus
We prioritize domains where AI failures cause real-world harm.
The Problem We Solve
AI systems routinely emit authoritative outputs without verifying they possess the required state to do so correctly. This pattern — which we call Systematic Architectural Fiction — leads to predictable failures in consequential domains.
A diagnostic AI that classifies a scan without confirming patient history. A lending algorithm that denies credit without complete financial data. A content moderation system that makes decisions without context.
These aren't edge cases. They're architectural failures waiting to cause harm.
Our Approach
- Completeness Gates — Processing halts if required inputs, calibrations, or context are absent
- Provenance Tracking — Every output traces back to verified source data
- Disclosure Requirements — AI limitations are surfaced, not hidden
- Audit Trails — Regulatory-ready documentation of decision points
Frequently Asked Questions
What is Reality Fidelity?
Reality Fidelity is an architectural principle that ensures AI systems only emit authoritative outputs when they possess the required state and provenance to do so correctly.
How is this different from AI safety?
Traditional AI safety focuses on preventing harmful outputs. Reality Fidelity focuses on preventing outputs when the AI lacks sufficient information — a more fundamental architectural constraint.
What domains does Reality Fidelity apply to?
Any domain where AI systems make consequential decisions: healthcare diagnostics, financial services, legal analysis, child safety, and more.
How do I learn more?
Explore our technical architecture, review real-world incidents, or contact us for enterprise solutions.