We combine multi-modal sensing with domain-adapted machine learning to monitor laser manufacturing processes in real time, inspect surfaces with AI, and predict quality before you measure it.
Real-time monitoring, anomaly detection, and AI surface inspection for laser ablation, drilling, cutting, and micro-texturing processes.
See solutionsProcess monitoring and post-treatment surface characterisation for laser cleaning, annealing, shock peening, and hardening.
See solutionsMelt pool monitoring, layer defect detection, and AI surface roughness inspection for LPBF, directed energy deposition, and laser sintering.
See solutionsOur Sense, Learn, Act framework applies consistently across all three laser manufacturing domains. Multi-modal sensing captures the physical signature of your process. Domain-adapted ML models learn what normal looks like. The result is real-time intelligence and post-process inspection, all laser-specific.
See our technologyMulti-modal sensors detect anomalies in milliseconds. Optional closed-loop process control.
Trained on normal runs only. No fault data needed. XAI root-cause diagnostics.
AI imaging for roughness, defects, and geometry. 100% coverage at production speed.
Quality predicted from process signals. Bayesian optimisation of parameters.