When AI does not fit as an off-the-shelf tool, it needs software: interfaces, roles, data flows, user experience, and operation.
Service
Locations in Ulm/Neu-Ulm and Brandenburg/Berlin; built for companies beyond those regions.
The model API is rarely the finished workflow
Production AI needs user guidance, data integration, permissions, monitoring, and maintenance. That is where an idea either works in daily use or stalls.
Software-first implementation
We build AI features as part of web apps, portals, and business software, combining strategic consulting with engineering delivery.
What usually has to be built around it
- AI web apps and portals
- Data and cloud integration
- RAG and chatbot features
- MVPs through production systems
Custom only makes sense for a reason
- The workflow is too specific for standard tools.
- Existing systems have to be connected.
- The result needs to be operated, measured, and improved.