One system for governed enterprise AI.

AI governance breaks when architecture, security, finance, and audit buy separate controls for the same call. APERION puts measurement, tool protection, runtime enforcement, governed spend, operations, and evidence into one product system you can deploy inside your environment and adapt to each jurisdiction.

See the APERION Trust Fabric

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THE OPERATING MODEL

Measure. Protect. Govern. Operate. Prove.

Start with what is true now. Compass measures the posture. Shield guards the tool edge. Smartflow meters spend and enforces policy in the live request path. Maestro operates the policy plane. SafeChat gives employees a sanctioned place to use AI. The APERION Trust Fabric connects each decision to identity and evidence.

APERION Trust Fabric

The architecture that connects verified identity, access decisions, runtime enforcement, and audit evidence across the AI estate.

Explore the architecture

Free, local, offline governance assessment. Verify exported evidence, score the gaps, and produce a report you can rerun.

Assess your posture

Compass

Shield

Local MCP guardrails that stop destructive tool calls before execution, with an enterprise path to centrally managed policy and evidence.

Protect the tool edge

The on-premises runtime governance layer that turns AI usage into governed spend while enforcing policy on model calls, responses, and MCP tools.

Govern the live call

Smartflow

Maestro

The operator console for Smartflow policy, deployments, integrations, spend, and evidence.

Operate the policy plane

A sanctioned multi-model workspace for employees, with enterprise identity, administration, and Smartflow governance built into the path.

Govern the employee workspace

SafeChat

THE MULTINATIONAL AI CONTROL PLANE

One control model across every jurisdiction where your AI runs.

Global enterprises do not operate in one cloud, with one model provider, or under one legal regime. Smartflow is designed to run the control path inside the customer-controlled environment in mainland China, Saudi Arabia, the European Union, the United States, and other regulated markets. Common policy definitions can travel; enforcement, provider credentials, governed traffic, and required evidence stay inside the regional boundary.

Global policy. Local enforcement. Portable evidence.

Generate evidence in the jurisdiction where the AI interaction occurs. Where the deployment supports it and transfer is approved, give the global team a minimized operational rollup - control results, policy versions, attestations, and evidence hashes - without creating a second copy of raw prompts, responses, or personal data.

See Multinational Operations

One call. Different stakes.

CISO

Know what the agent sent, what policy fired, and what stopped the unsafe action.

CIO / Platform

Give teams provider choice without rebuilding governance into every application.

CFO / FinOps

Turn an invisible invoice into governed spend. Meter from business unit to individual, bring provider keys under central custody, set budgets before the cycle closes, and measure what routing, compression, and caching recover on real traffic.

Risk / Audit

Replace reconstruction projects with queryable, identity-bound evidence.

Start with the layer your organization can prove.

Run Compass, deploy Shield, or scope a Smartflow evaluation against one real workload. Measure first. Establish the baseline. Then decide what to enforce and what is economically recoverable - including when the honest result is modest.

Request an architecture session

Start with Compass on GitHub

The runtime governance layer for enterprise AI agents in regulated industries.