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Governed agent mesh

The governed agent mesh for domain experts.

The person closest to the problem shouldn't be the furthest from the fix. OrcasAgent™ puts production AI agents in the hands of the domain experts who own the outcome — built, governed, and run behind a gate a human owns.

one true number: 16.7% → 83.3% — cold-chain routing accuracy, a cognition promoted through the Breach · the Factory →

θ = i × 137.507° · r = sp·√(i + 0.35) · three nodes shown live

Every agent release passes a human approval gate· Full audit trail· Database-enforced tenant isolation· Every number is real, or it's blank

The model

A system, not a pile of features.

Five stages carry an agent from a business requirement to a governed, observable production service.

01

Build

Turn a business requirement into a working agent — authored by the person who owns the problem.

02

Govern

Every release passes a human approval gate. Nothing reaches production unreviewed.

The gate
03

Promote

A one-way promotion from build to production — an immutable artifact, an attributable decision, reversible by rollback.

04

Consume

Released agents are live services on the mesh, reachable as APIs by the systems that need them.

05

Observe

A full audit trail across every action, with tenant isolation enforced in the database.

The cognition supply chain

Where the capabilities come from.

OrcasAgent runs the mesh. Cognition Factory builds what runs on it — a governed supply chain that carries a domain expert's intent all the way to a promoted, evidence-gated cognition.

IntentDataModelRunEvaluatePublish

Chat-first with OrcasAgent™ Guide, any GPU over IP, fail-closed evaluation gates, and promotion through the Model Breach — nothing reaches the mesh on trust.

Explore Cognition Factory →

one cognition → promoted → a live node in the mesh

Deployment freedom

Runs in your cloud.

Portable by design — the same product installs on any cloud or on-prem. No lock-in to a hosted control plane.

Any cloudOn-premAir-gappedYour keysYour data residency

The principle

Promotion, not deployment.

Agents are not pushed to production. They are promoted through a governed gate a human owns — so every capability in the mesh is one someone chose to stand behind. That is the difference between a demo and a system you can run a business on.

The same gate governs capabilities, not just agents. In Cognition Factory, a model earns its place in the mesh by passing a promotion gate a human owns — cognitions are promoted, not shipped.

Read the governance doctrine →

Build an agent your auditors would approve.

For domain experts who are accountable for what their software does.

STATE OF TRUTH model garden: live models approval gate: releases this week mesh: live agents open source: cores released every value here is read from a real system, or shows a dash