Private AI infrastructure for companies in DACH
We build language models and AI agents into our customers' environments, so into your own data centre or a named zone. There is no billing per request, your data never leaves your network. We take the systems live and we keep them running once the project is over.
Most AI projects get as far as the pilot and then no further
According to a widely quoted analysis from 2025, 20 percent of custom built AI tools reach the pilot stage, yet only 5 percent reach production. The bottleneck is not the model, it lies in data maturity, in fitting the tool into daily work and in operations afterwards. Those three things are exactly what we do.
You have no AI department and you do not need one
We bring AI into your company, in your environment, at a fixed price and a fixed date. You tell us which process eats time, we show you in 72 hours what it will look like in future.
To the industries and entry packages →You have a team and a cost problem
We move your AI applications from billing per token into your own operation, together with your people, with documented architecture and an operating model that your audit function accepts.
To the reference architecture and model calculation →Three things nobody else offers together
Private AI infrastructure
Language models and agents run on your hardware or in a zone you name. Open model weights that you can take with you, no billing per request, no change to the terms of use without your consent.
View private AI infrastructure →Delivery on a fixed date
One defined result, one agreed price, one fixed date. The acceptance criterion is fixed in writing before the project starts, not up for negotiation at the end. First internal pilot in 72 hours.
View prices and packages →Operations after go-live
We keep the system running: model maintenance, cost control, tracking of regulatory changes, a named contact with response times. Where the software for that is missing, we build it ourselves.
View operations and Service Level →From assessment to ongoing operations, in four steps
Assessment
We look at data, systems and the process that costs time. Result: a recommendation with effort and price, in writing.
Pilot
One defined use case runs in your environment. Result: a system your people can use, not a slide deck.
Rollout
Connection to your systems, access rights, logging, training. Result: productive operation with an accepted criterion.
Operations
Monitoring, model maintenance, cost control, tracking of regulation. Result: a system that still runs in two years.
What an entry costs, and what makes operations pay off
Data situation, use case, effort estimate, written recommendation.
One use case in your environment, with an acceptance criterion agreed in advance.
Productive operation, response times, model maintenance, cost control.
The range depends on the data situation, the number of use cases and the infrastructure already in place. What your case costs, we tell you after the assessment, in writing, before the project starts.
All packages in detail → · Calculate the cost yourself, own operation against billing per request →
To read, not to take on faith
One diagram, one operating model, one page of security statements. Downloadable without a form.
Own operation against billing per request, all assumptions disclosed, reproducible with your own figures.
How a customer leaves us, in what format, within what period. No competitor we reviewed publishes this.
Industry, size, time frame, one result figure, approved quote with name and role.
Same structure. In-house products are labelled as such and do not count as a customer reference.
A case from an IT organisation, with a cost comparison instead of a process benefit.
What we build, we also build for ourselves
Orpheon is our forecasting platform. It turns existing operating data into forecasts without you building your own data team, and on request it runs entirely behind your firewall. We built it, we operate it, and it is the reason we can talk about data pipelines and model operations from experience, not just in theory.
We know the processes that cost time in your industry
The part most providers do not sell alongside the product
| Response time | by service tier, named and contractually committed |
| Service hours | business hours or extended, by agreement |
| Model maintenance | updates, evaluation, cost control, monthly report |
| Regulation | we track deadlines and duties, you get a notice |
Operations and Service Level → · Security, locations and evidence →
If you would rather read or calculate first
From pilot project into operations
The guide to the question that most AI projects fail on.
Read →AI in manufacturing
Our own analysis, 30 pages, with sources and cases from the DACH region.
Open →Own operation against billing per request
Your figures, our disclosed assumptions, result immediately on screen.
Calculate →Frequently asked questions
Book an initial call, 30 minutes
We clarify three questions: which process costs you time, which data must not leave the building, and who decides on your side. At the end there is an assessment of whether a pilot makes sense, and what it costs.