Not every task belongs in the same model environment. Sensitive data, answer quality, cost, and operation have to be decided together.
Service
Locations in Ulm/Neu-Ulm and Brandenburg/Berlin; built for companies beyond those regions.
Privacy cannot be bolted on at the end
Local models can be useful, but they do not automatically solve access rights, data flows, monitoring, or quality.
We do not choose local or cloud on principle
We evaluate data classes, use cases, security needs, and operating cost, then design local, cloud, or hybrid AI architectures.
Questions that come before model choice
- Data flow and access
- Local model vs. cloud model
- RAG and permissions
- Operations, monitoring, and cost
The architecture has to survive operation
- Sensitive data is handled appropriately.
- Quality and cost remain controllable.
- The architecture fits existing IT and compliance.