The core

Proofence Engine

The proprietary core verification, evaluation, trust scoring, policy orchestration, human-review routing, evidence, audit, and agent-governance engine.

See it in AtlasProofRequest a Demo
Proofence trust pipeline: an input is verified against models, sources, policies and context by the Proofence Engine, which produces a trust score, evidence and explanation, resulting in an approve, warn, review or block decision.
Verification flowProofence Engine

  1. Input

    Output · claim · document · action

  2. Context

    Models · sources · policies · signals

  3. Proofence Engine

    Verify · score · orchestrate

  4. Trust result

    Score · evidence · explanation

approveHigh trust, policy satisfied
warnAcceptable with noted caveats
reviewRouted to a human expert
blockPolicy violated or trust too low

Responsibilities

One engine, every trust responsibility.

The Proofence Engine unifies the functions that usually live in separate tools. Its internal methods are proprietary; what it delivers is transparent.

  • Verification & evaluation

    Test outputs, claims, and actions against independent models and grounded sources.

  • Trust scoring

    Produce calibrated, explainable trust signals—never a bare, unexplained number.

  • Policy orchestration

    Apply versioned, domain-specific policy to route every case to the right outcome.

  • Human-review routing

    Escalate ambiguous or high-impact cases to expert reviewers and capture their judgment.

  • Evidence & audit

    Emit durable, structured records of inputs, evidence, rationale, and decision.

  • Agent governance

    Authorize and constrain agent actions before they take effect.

Built for accountable AI

Proofence Engine sits between AI systems and the decisions they influence. Rather than treating a model output as a final answer, the engine treats it as a claim to be examined, then assembles evidence, applies policy, and produces a decision that a person can read, contest, and audit. Every stage is designed to be inspectable, so a result is never a black box that teams are asked to simply trust.

The engine coordinates several complementary checks instead of relying on a single signal. It grounds claims against source evidence, compares perspectives across models, and calibrates a trust score that reflects genuine uncertainty rather than false confidence. When signals disagree or confidence is thin, the engine routes the case for human review instead of forcing a verdict, keeping the hardest calls in front of the right reviewers.

Policy orchestration lets organizations express their own standards for acceptable AI behavior and have them enforced consistently at decision time. The engine evaluates each request against the applicable rules, records why an action was allowed, blocked, or escalated, and preserves that reasoning as durable evidence. The same machinery governs agent actions, so autonomous steps are checked against policy before they take effect.

Because the engine is a shared foundation, AtlasProof by Proofence, AirTrustOS by Proofence, and the Proofence API all draw on the same verification logic. That shared core keeps behavior coherent across the workspace, the control plane, and direct integrations, so a decision means the same thing wherever it surfaces and every judgment carries a complete, replayable audit trail.

A note on confidentiality

The Proofence Engine relies on proprietary methods for scoring, orchestration, and evidence handling. This page describes what the engine does and the guarantees it targets—not its confidential internals. AtlasProof by Proofence and AirTrustOS by Proofence expose these capabilities through product surfaces without revealing the underlying implementation.

Bring verifiable trust to every AI decision.

Start in AtlasProof by Proofence, or talk to us about enterprise governance with AirTrustOS by Proofence.

Try AtlasProofRequest a Demo