You want AI to do more, and trust is what's holding it back.
Assess each execution so your policy has a measured basis for deciding what can proceed within the risk threshold you set.
PHI-LATTICE ยท INFERENCE ASSURANCE
More AI autonomy. Trust measured at inference.
Phi-Lattice provides inference assurance for AI models: it measures internal model signals, produces risk-specific assessments, and retains evidence you can inspect.
Your policy decides what proceeds.
Applying begins a conversation about a scoped early-access design partnership.
The trust gap costs you in two places.
You're paying for trust today: human review, second-opinion models, investigation after the fact.
Phi-Lattice measures the model's own computation, without requiring a judge model, so you can evaluate where review is needed.
WHY NOW
AI adoption is broad. Delegated authority is narrower.
AI can support a decision without being trusted to make it. Phi-Lattice provides a measured basis for deciding when AI can act on its own and when a human needs to review it.
Two applications. One inference assurance platform.
Reliability Assessment
Identify executions that warrant additional verification.
Decision-Pathway Audit
Investigate bias in how your model treats comparable cases, beyond the final outcome.
Demonstrated evidence
Recorded reassessment: zero model calls. The retained answer was not regenerated.
Controlled synthetic audit: same financial profile, different responses. Checked against deliberately planted rules.
Recorded demonstrations; workflow integration is scoped with design partners.