Data sovereignty
Choose data location, access rules and model deployment to match your requirements.
We integrate suitable open-weight models and deploy AI on your infrastructure or within Anexia Group. You choose the operating model; our engineers align model quality, data flows and integration with your requirements.

We distinguish three operating models: Edge on the device, on-premise in your data centre, and hosting on infrastructure within Anexia Group. For group-hosted AI we also use the netcup Inference Platform, with deployment options in Austria and Germany. We agree the specific location, data flows and access rules for your project.
Edge: on the device
Inference close to the data source. Depending on the application and hardware, processing can run without a permanent external connection.
On-premise: in your data centre
Models run on your infrastructure. We define which components operate locally and which connections are needed for integration and maintenance.
Within Anexia Group
The netcup Inference Platform provides model inference within Anexia Group. ADE develops and integrates the application; the operating setup is agreed for your project.
Open-weight model selection
We evaluate available model weights for quality, hardware needs and licence conditions. Open weight describes model availability; it does not determine the hosting location.

Models directly on the device (Edge), for example predictive maintenance at the machine.

Automatic transcription for documentation and processes.

Integrate model inference from the netcup Inference Platform into your application, with defined data flows and responsibilities.

Sensor data evaluated directly at the machine, for predictive maintenance.

Assistants for technical customer support, connected to your knowledge.

Local AI produces structured evaluations from your data.
Choose data location, access rules and model deployment to match your requirements.
We evaluate response quality and latency using representative tasks and your target hardware.
Compare hardware, inference and operating costs for the selected model and expected usage.
Local deployment can support offline operation. Group-hosted inference requires a connection to the platform.
We will compare suitable models and deployment options for your application. Bring your data requirements, expected usage and integration needs.