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Private AI infrastructure and AI agents, run in-house

Private AI infrastructure means language models run on servers that belong to your company or are operated exclusively for you. Your data never leaves the building or the EU. This becomes worthwhile from a regular usage volume upwards, with personal or business-critical data, and anywhere traceability is required.

Three reasons companies call us

Trigger 01

The bill grows faster than usage

As soon as a use case scales, billing per request becomes the largest line item. Nobody can reliably estimate it in advance.

Trigger 02

The data must not leave the building

Client data, patient data, design data. Processing outside your own control is either prohibited or unenforceable.

Trigger 03

The first attempt fizzled out

A pilot ran, then nothing happened. What was missing was data preparation, system connections and someone to take over operations.

What you get

Building blockWhat is in itWhere it runs
Model operationsModels with open weights, chosen for your use case, not for leaderboard rank. You can take the weights with you at any time.Your hardware or named zone
Knowledge connectionYour documents and business systems are connected, with per-user permission checks and a traceable source citation in every answer.in your network
Agents and workflowsProcesses that cost time today run as a workflow with approval points. No automation without control.in your network
Logging and permissionsWho asked what, which model answered, on which source. Evaluable for audit and data protection.in your network
OperationsMonitoring, model maintenance, cost control, tracking of regulation, a named contact.by us, see Operations
Worked example

What running it yourself costs

We disclose usage profile, model size, utilisation and term, and calculate against billing per request. You can repeat the calculation with your own figures.

Go to the calculator →  ·  All assumptions as a PDF →

Our own cost model, not a study figure. As of August 2026.
How you leave again

The exit is written into the contract

What you take with youModel weights, fine-tuning, data, configuration
In what formatdocumented, no proprietary wrapper
Within what periodnamed in the contract, not decided on the spot
What it costsnothing

Process and price frame

Assessmentdata situation, use case, effort estimate1 week
Pilotone use case in your environment, with an acceptance criterion72 hours to internal operation
Rolloutconnection, access rights, logging, training4 to 10 weeks
Operationsmonitoring, model maintenance, cost controlongoing managed service

All packages in detail →

Six questions