Platform

A unified trust orchestration layer for AI.

Proofence sits between your AI systems and the decisions they influence—verifying outputs, grounding evidence, applying policy, and producing an auditable record for every case.

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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

Not a point tool

More than a detector, evaluator, or dashboard.

Proofence is a broader trust orchestration and operating layer. It unifies capabilities that usually live in silos into one accountable pipeline.

Not just detection

It does more than flag AI content—it verifies and decides.

Not just evaluation

Scores are calibrated, explained, and tied to policy.

Not just guardrails

Policy orchestration routes each case to the right outcome.

Not just a dashboard

It produces decisions and evidence, not only charts.

Not just observability

It governs actions, not merely watches them.

One operating layer

Everything above, unified and auditable end to end.

Architecture

One trust orchestration layer, four responsibilities.

Proofence is not a detector or a dashboard. It is an operating layer that sits between AI systems and the decisions they influence.

  1. Ingestion & context

    Normalize the output, claim, document, or agent action together with the models, sources, and policies that apply.

  2. Verification & scoring

    Cross-check across independent models, ground claims in evidence, and produce a calibrated, explainable trust signal.

  3. Policy orchestration

    Apply domain-specific policy to route each case: approve, warn, send to human review, or block.

  4. Evidence & audit

    Emit a defensible record—inputs, evidence, rationale, and decision—for every case that passes through.

Verification lifecycle

How a decision moves through Proofence.

Every request follows the same disciplined path, whether it is a single answer or an autonomous agent action.

Step 1 · Submit

Capture the request in context

An output, claim, document, or agent action arrives with the models, sources, and policies that apply to it.

Capabilities

Everything you need to make AI trustworthy.

Ten public capability groups compose into a single trust orchestration layer—use one, or the whole stack.

The core

Proofence Engine

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

Explore the engine

Governance & standards

Built for accountability from the first request.

Proofence treats governance as infrastructure, not an afterthought—so trust decisions are consistent, explainable, and reviewable.

Responsible AISecurity posture

  • Explainability by default

    Every trust decision ships with the evidence and rationale behind it. No unexplained verdicts.

  • Policy as configuration

    Encode organizational and domain policy as versioned configuration, applied consistently across products.

  • Human oversight

    Route ambiguous or high-impact cases to expert reviewers, and capture their judgment in the record.

  • Auditable evidence

    Produce durable, structured evidence for each decision to support internal and external review.

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