Artificial Intelligence
What we know how to do, not just what we sell.
Seven capabilities, one method: models chosen for the problem, data handled where it belongs, systems that actually reach production — on GPUs, in the cloud or inside a microcontroller.
The capabilities
The method
From the problem to the system in production
- 01
Scoping
A 30–60 minute call: goal, available data, constraints (privacy, latency, hardware) and success KPIs.
- 02
Measured prototype
A proof of concept in 4–6 weeks with real metrics — accuracy, latency, cost per inference — before investing in the full system.
- 03
Production
Integration with existing systems (PLC, ERP, MES, CRM), monitoring, governance and EU AI Act compliance; then ongoing support.
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