AI trust infrastructure

Trust infrastructure for AI systems.

Proofence verifies AI outputs, evidence, policies, model behavior and agent actions through a unified trust orchestration layer—turning probabilistic AI activity into explainable and auditable decisions.

Try AtlasProofRequest a Demo
  • Explainable by default
  • Policy-governed
  • Human-in-the-loop

Verify Everything. Trust Universally.

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

A unified trust layer across the AI lifecycle

  • Multi-model verification
  • Evidence grounding
  • Trust scoring
  • Policy orchestration
  • Human-in-the-loop
  • Agent governance
  • Audit evidence
  • Multimodal verification

The problem

AI is probabilistic. Decisions are accountable.

Modern AI produces fluent, plausible output at scale—but plausibility is not proof. Organizations are now accountable for what AI systems assert, generate, and do, without a consistent way to verify it.

  • 01

    Confident, but unverified

    Model output reads as authoritative whether or not it is grounded in evidence. Confidence is not correctness.

  • 02

    Fragmented controls

    Evaluators, guardrails, dashboards, and manual review live in silos with no shared record of why a decision was made.

  • 03

    Autonomous actions

    Agents now take real actions. Without governance, a wrong step propagates before anyone can intervene.

  • 04

    Unaccountable decisions

    When AI informs a high-impact decision, teams need an auditable explanation—not a black box.

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.

The ecosystem

One engine. Two products. Every layer of trust.

Proofence Engine powers a developer-facing workspace and an enterprise governance control plane—so trust is consistent from a single API call to organization-wide policy.

Proofence Engine

The proprietary verification core

Verification, evaluation, trust scoring, policy orchestration, human-review routing, evidence and agent-governance—the engine behind every Proofence product.

Explore the engine

AtlasProof by Proofence

AI verification workspace & API

Verify AI outputs, ground claims in evidence, and get explainable trust decisions in a workspace and API built for product and engineering teams.

Try AtlasProof

AirTrustOS by Proofence

Enterprise AI governance control plane

Govern AI policy, authorization, monitoring, audit and orchestration across teams and systems from a single enterprise control plane.

Explore AirTrustOS
Compare products

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.

Solutions

Trust, tailored to how your industry works.

From autonomous agents to regulated sectors, Proofence adapts verification and governance to domain-specific policy.

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.

Research & patents

Advancing the science of AI trust.

Proofence invests in methods, frameworks and positions on verifiable, accountable AI—and protects its core inventions.

ResearchPatents
  • MethodIn review

    Calibrating Trust Scores to Real Uncertainty

    Exploring how a verification trust score can be calibrated so that its confidence tracks genuine reliability rather than the fluency of a model’s output.

  • MethodConcept

    Multi-Model Consensus as a Verification Signal

    Investigating how agreement and disagreement across independent models can be used as evidence about the reliability of a claim rather than averaged away.

  • FrameworkConcept

    Evidence Grounding and Provenance for AI Claims

    A conceptual framework for tying AI claims back to their supporting sources and preserving the provenance that makes a verdict inspectable and contestable.

Proofence develops proprietary verification and trust-orchestration technology. Patent references are published only when confirmed. Read our patent posture.

Resources

Perspectives on AI trust.

Field notes on verification, trust scoring, and governing AI you can be accountable for.

Visit the blog

Get started

Bring verifiable trust to every AI decision.

Start verifying AI outputs in AtlasProof by Proofence, or talk to us about governing AI at enterprise scale with AirTrustOS by Proofence.

Try AtlasProofRequest a DemoExplore AirTrustOS