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Solutions · Four building blocks, one house

AI delivery for the Mittelstand: our solutions at a glance.

Our AI delivery for the Mittelstand splits into four areas: private AI infrastructure as the foundation, AI agents that build on it, compliance guidance on the EU AI Act, and product development as the engineering depth behind it all. You can commission the four areas separately, but they work best together.

Solution 01

Private AI infrastructure

Language models that run in your data centre or in a named zone, with no billing per request and with no data leaving your network.

View private AI infrastructure → →
Solution 02

AI agents and automation

Automate specific, recurring processes with approval steps or autonomously, drawing directly on your private infrastructure.

View AI agents and automation → →
Solution 03

AI compliance and the EU AI Act

Risk categorization, deadline tracking, and compliance guidance for your AI projects under the EU AI Act.

View AI compliance and the EU AI Act → →
Solution 04

Product development

Custom software, data pipelines, and deep system integrations behind every scalable AI rollout.

View product development → →

How the four solutions fit together

This overview page does not replace any of the four solution pages - it only orients you faster to the right one, instead of you working through four similarly named offers yourself.

Anyone planning AI delivery for the Mittelstand usually faces a confusing choice of vendors, all of whom mean something different by the same word. One sells a licence for a finished tool, another sells pure consulting with no delivery, a third sells a pilot project that never moves into productive operation. With us, the four areas instead connect in a clear order, even if you do not need all four at once.

The foundation is private AI infrastructure. Without an environment where language models can run without sensitive data leaving the building, no further building block can be set up cleanly. This infrastructure sits either in your own data centre or in a named zone fixed in the contract.

AI agents for companies build on that. An agent automates one specific process - checking incoming orders, say, or preparing an order confirmation - and draws on the infrastructure set up beforehand. Without the private infrastructure underneath, an agent would either send data outward or fail to reach the traceability required.

Alongside that sits AI compliance and the EU AI Act. This page pursues no ranking target of its own - it serves as evidence of our expertise and as orientation on which risk category a project falls into and which deadlines apply. Anyone who commissions infrastructure and agents with us gets this classification included automatically.

The fourth pillar is product development, the engineering depth behind everything else. Data pipelines, internal tools and integrations into existing systems are built here, and the same engineering work sits behind our own forecasting platform, Orpheon, introduced at Orpheon.

Which solution fits your starting point

The following overview sorts the four solutions by typical starting point, so you do not have to read all four pages first to know where to begin.

If you do not yet run your own AI infrastructure, the sensible starting point is private AI infrastructure, because it is the precondition for everything else. If the infrastructure is already in place and you want to automate one specific process, starting with AI agents is the faster route, often with a first pilot in 72 hours. If regulatory questions are the reason for your hesitation, read the EU AI Act classification first, before making a technical decision. If beyond that you need custom software, data pipelines or integrations that go beyond standard components, product development is the right starting point.

Regardless of which solution you start with, delivery with us follows the same pattern: an assessment, an internal pilot within 72 hours, a productive rollout within 4 to 10 weeks, and ongoing operations after that. This structure applies to private AI infrastructure just as it does to AI agents and to product development, so you know what to expect across all four solutions.

How the whole path from the first assessment to ongoing operations looks, we describe at Operations; the corresponding price frames are at Pricing.