Automated AI-supported per-unit quality control (laser processing)

We build automated, AI-supported quality control that inspects every individual product — not just samples — by fusing multimodal sensor data (optical, acoustic and process signals) to detect defects, drift and anomalies in real time, beyond single-signal threshold checks. Proven in a ZIM-funded R&D project on laser welding; now extending to laser cutting. Well suited to high-speed, high-precision manufacturing where defects are rare, costly and hard to catch by manual or sampling-based inspection. From feasibility and sensor concept through to inspection — as service provider, integrator and product developer in one.