AI Control Plane

Take control of AI spend without slowing your teams down. Govern, scale, and consume every model from one control plane, deployed in your environment.

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Invisible AI spend, attributed in weeks

A Nordic enterprise, with thousands of users, had AI spend scattered across multiple teams and personal accounts. No budgets, no chargeback.

We deployed the control plane in their environment: one API in front of every model, budgets tied to cost centers. Within weeks, spend was visible and attributed, the run-rate down 20–30%, uptime at 99.9%, and new models live the day they shipped.

AI at the speed teams need, under the control boards need

Ungoverned AI has a ceiling. Spend hides on personal cards, sensitive data leaves your environment, and every provider is another integration nobody owns. One control plane lifts that ceiling. It meters, governs, and routes every model call in your environment, the same way every day.

Cost under control

Real-time budgets and hard limits. Chargeback to every cost center and division.

Governance in your environment

Data never leaves your infrastructure. Full audit, RBAC, and guardrails.

Zero vendor lock-in

Open source on any cloud, on-prem, or air-gapped. Switch providers anytime.

Run by us, your AICOE

We operate, scale, and patch it 24/7. No SRE or AI hires required.

Your teams consume. We run the plane.

Developers connect through one unified API and build. IT sets the policy and watches one dashboard for cost, usage, and health. In between, metering, routing, budgets, guardrails, and failover run automatically in your environment. One control surface for chat, apps, and agents.

Self-service for business users. No IT tickets.

A user picks a team and use case; a cost-center owner approves. A credit budget is assigned and metered live, with alerts at 80% and 100%. Every request is attributed to person, cost center, and division — board-ready spend, no IT tickets.

Sovereign by architecture

Data stays in your environment. With local models, nothing is left to clouds you do not control. The plane runs air-gapped for sensitive workloads and supports EU sovereign datacenters. For a bank, this is the reason the project clears compliance.

Built on a certified, open foundation

Microsoft Solutions Partner. Open-source core. SOC 2 Type II and ISO 27001 controls.

Frequently Asked Questions

How is this different from Azure AI Foundry or building it ourselves?

Azure AI Foundry is a Microsoft-managed catalogue with markup and Microsoft-managed data residency. Building in-house means 3–4 scarce engineers, six-plus months, and owning every outage. The control plane gives you 100+ providers plus self-hosted models in your environment, no markup. and run by us. Live in weeks.

Where does our data go?

Nowhere outside your environment. The plane runs inside your own infrastructure. Any cloud, on-prem, or fully air-gapped. With self-hosted models, nothing is transmitted to external clouds you do not control. Full data residency and sovereignty by design.

Which models can we use?

One API in front of 100+ cloud providers, plus any self-hosted open-source or custom model. New models go live within 24 hours of release, and switching is a single parameter. No code to rewrite per provider.

Is there a per-token markup?

No. You pay direct provider pricing with no markup, plus a predictable platform fee. A base monthly fee, a fee per managed model, and a fee per team or user key. No multi-year commitment.

Can it run air-gapped or on-prem?

Yes. The plane is container-based on Kubernetes and runs in AWS, GCP, Azure, on-premise, air-gapped, at the edge, or in EU sovereign datacenters. The most sensitive workloads run fully isolated with local models.

Who runs and maintains it?

We do. We operate, scale, patch, and monitor it 24/7 as your AI Center of Excellence, and add new models within 24 hours. Your engineers stay on the core business, and you keep full control of the platform and your data.