AI Infrastructure & Automation

AI that runs on your infrastructure, not someone else’s cloud.

We run our own AI infrastructure and build the same for your company: open language models on your hardware or on a dedicated server in Germany, plus automations for the work that runs the same way every day.

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The model is rarely the bottleneck.

Almost every company we talk to has already tried AI — in a chat window, nowhere near its own data. It becomes useful once the model is connected to your documents, your CRM and your line-of-business systems, and the result lands where the work already happens. That part is software engineering rather than prompt writing, which is why we start at the integration and not at the model.

What we handle

Self-hosted language models

Open models on your own hardware or on dedicated servers in German data centres. No prompt leaves your organisation — for professions bound by confidentiality that is not a preference, it is the condition under which AI can be used at all.

AI agents for your teams

An assistant that knows your quotes, contracts and records because it reads your material rather than general knowledge. We scope what it may see and make it traceable where an answer came from.

n8n automations

Capture, route, notify, generate the document, follow up: whatever runs the same way every time runs by itself. We build the failure cases too — an automation without error handling only produces quieter errors.

Integration with what you already run

CRM, inventory management, mailboxes, telephony, accounting exports. Integration is where AI projects usually stall; here it is part of the engagement rather than homework for your IT team.

The difference from an AI workshop

Plenty of providers sell the introduction: training, a policy, one tool per department. We build software ourselves, so we build the hosting, the integration and the interface your team actually works in — and operate it afterwards. What comes up gets changed instead of being emailed to a third party.

Processing in German data centres or on your own infrastructure
Your data is contractually excluded from third-party model training
One use case in production first, then the next — not a company-wide rollout
Data processing agreement and deletion policy settled in writing up front

What we say up front, not afterwards

AI does not replace an expert and does not repair a broken process — it speeds up the process you have. Where your data sits unstructured across mailboxes and shared folders, sorting that out is the actual first step, and we say so in the first call rather than in month three. If a use case does not carry the effort, we advise against it.

Part of the same run

AI rarely stands alone: what gets automated arrives from a form and ends up in a line-of-business system. We build those in the same house.

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Let’s start with one use case.

Tell us which process eats the most time. In the first call we will tell you whether AI holds up there — and what would make more sense if it does not.