Ontic Labs
Simulators propose. Reality vetoes.
Governance infrastructure that enforces Reality Fidelity — preventing AI systems from emitting authoritative outputs unless required state and provenance are present.
The Core Problem
AI systems in consequential domains—healthcare, finance, legal, child safety—routinely emit authoritative outputs without verifying they possess the required state to do so correctly.
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 bugs. They're architectural failures.
The Core Solution
Reality Fidelity is governance infrastructure that halts authoritative outputs when required state is missing.
- Completeness Gates — Processing stops if required inputs, calibrations, or context are absent
- Provenance Tracking — Every output traces back to verified source data
- Audit Trails — Regulatory-ready documentation of decision points
Beyond the Block
Ontic doesn't just refuse when reality is incomplete — it routes to safe resolution.
- Missing state triggers targeted questions
- Ambiguous inputs surface candidate interpretations
- Conflicting sources are exposed, not collapsed
Where This Happens
Reality Fidelity applies across consequential domains:
Regulatory Reality
Emerging regulations demand what Reality Fidelity provides:
- EU AI Act — High-risk AI system requirements
- FDA AI/ML Guidance — Medical device AI oversight
- NIST AI RMF — Risk management framework