COLLEAIQ. COPENHAGEN.

Policy-bound orchestration for AI agents doing regulated work.

Every agent action is bound to a symbolic policy layer before it executes, so every decision is traceable to a rule. We call this a neurosymbolic runtime. In production with a European manufacturer. Built in Copenhagen for work that has to answer to a regulator.

IN PRODUCTION WITH A MANUFACTURER · BUILT IN COPENHAGEN

How it works, in plain terms.

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Your AI agents come from different places.

Different makers, different tools, each on its own way in and out.

One coordination layer. Many regulated domains.

The platform is domain-general. The same governed kernel, the same agent contracts, and the same trace format can coordinate work in any environment where decisions need to be auditable. Manufacturing is the domain we run in production first. Cybersecurity, legal review, and other regulated workflows are within the engine's reach when a partner in that domain is ready to deploy.

In production with ProPlast

Manufacturing

Coordinating quality, maintenance, and process agents on a live manufacturing floor.

Engine capability, not yet shipped

Cybersecurity

Alert triage and response workflows the kernel can coordinate.

Engine capability, not yet shipped

Legal review

Contract review and matter workflows the kernel can coordinate.

Built so a regulator can follow every decision.

The controls that let multi-agent AI run where every action is checked, logged, and accountable.






A replayable record of every decision.

Agent utterance

The action the agent proposed and the chain of reasoning that produced it.


Policy applied

The rule that allowed the action and the policy version that produced it. Signed against the version in force at the moment of execution.


Evidence captured

The inputs the agent saw, the sources it consulted, and the tool responses that informed its proposal.


Human review

The reviewer identity and decision where one was required by policy. Absent on actions the kernel released without escalation.


Outcome

What actually happened: the action taken, blocked, or held for review, with the timestamp recorded against the trace identifier.

What a trace records, per action. Replayable against future policy versions to see which past decisions a new rule would change.

The work that matters happens after the answer.

ColleaiQ working principle

We are in production with a manufacturer.

The engine is domain-general. Manufacturing is where it runs in production first. On the shop floor, the engine coordinates quality, maintenance, and process agents against a single governed kernel. Other regulated domains follow as partners come online.

If you run a plant and want to see this on real shift data, write to christofferdreist@colleaiq.dk.


Deploy where your data has to stay.

ColleaiQ is built for environments where SaaS is not an option. Sovereign EU cloud, on-premises, or partner-managed. Your choice, your data, your keys.

Sovereign EU cloud

You run it in your tenant

  • EU data residency, no US transfer
  • Customer-owned keys & audit logs
  • Hardened reference architecture

Our live manufacturing deployment runs on this model.

Recommended for NIS2 / DORA

On-prem / air-gapped

Inside your perimeter

  • No implicit access to data
  • Signed update channel
  • Hardening & deployment packs
Regulated operations, on-site data

Partner-managed (white-label)

Delivered by a managed-service partner

  • Multi-tenant isolation
  • Partner owns the customer relationship
  • We own the governance kernel
Regional scale, partner-operated

ColleaiQ is built in Copenhagen. If you run regulated work and want to see whether the engine fits, the most direct path is a short conversation.

Talk to an engineer