Enterprise
Enterprise AI
Proofence gives large organizations a unified trust layer across every model, vendor, and use case, so AI outputs become explainable, auditable decisions instead of unverified guesses.
Turn scattered AI pilots into an accountable, governed capability.
Enterprises now run AI across dozens of teams, tools, and vendors, each with its own risk profile and none with a shared notion of trust. Proofence sits above these systems as a single orchestration layer, verifying outputs, grounding them in evidence, and applying consistent policy regardless of which model produced the answer or which department deployed it.
The Proofence Engine coordinates verification while AtlasProof by Proofence gives review teams a workspace to inspect claims, evidence, and decisions in context. Instead of trusting a probabilistic output on faith, teams see why a result passed, why it was flagged, and what evidence supported it, so accountability follows the answer wherever it travels.
AirTrustOS by Proofence extends this into an enterprise control plane, where governance leaders define policy once and enforce it everywhere. Every verification produces a durable record, giving risk, legal, and audit functions the explainable trail they need to stand behind AI-driven decisions in regulated and high-stakes environments.
Outcomes
Unified trust standard
One verification and policy layer spans every model and team, replacing ad hoc checks with a consistent standard.
Explainable decisions
Each output carries the evidence and reasoning behind it, so stakeholders can understand and defend the result.
Centralized governance
Policy is defined once and enforced everywhere, giving risk and audit teams a single point of control.
Capabilities applied
- Multi-model verification
- Evidence grounding
- Policy orchestration
- Audit & evidence generation
- Continuous monitoring
Bring verifiable trust to every AI decision.
Start in AtlasProof by Proofence, or talk to us about enterprise governance with AirTrustOS by Proofence.