AI for Manufacturing: parameters optimization system
"With this AI-powered calibration tool, our machines adapt to each client's needs in a fraction of the time. It’s like giving every customer a tailor-made setup, without the cost or complexity."
Challenge
Calibrating laser cutting machines requires manually adjusting thousands of parameters to achieve the desired quality.
This process was:
Highly complex, requiring deep domain expertise
Time-consuming, delaying productivity
Inefficient, potentially leading to resource waste and inconsistent results
That’s where our expertise in AI for manufacturing made the difference.
This case study focuses on a tech company in the sheet metal industry. More broadly, the world of manufacturing and industrial production can greatly benefit from AI-powered tools designed to optimize processes, production, and maintenance.
Our AI Solution
To address this, we developed an AI-based calibration system that optimizes machine cutting parameters by learning from human quality rankings of test pieces.
Its key features are:
Machine learning combined with expert feedback to identify the best settings
Self-adapting models, trained on a shared software foundation but generating client-specific outputs
No need for custom development per client: one model, many tailored solutions
This hybrid approach ensures that the system evolves with each new calibration cycle, continuously improving results and reducing operator dependency.
Results
When applied with focus, AI for industry - as in this case - delivers tangible, real-world results:
-80% in calibration time, accelerating machine setup
+20% increase in machine ROI, driven by higher productivity and quality
Lower dependency on skilled personnel, making the process accessible to more users
Custom-fit calibration without custom software, reducing costs and increasing adoption
Higher client satisfaction, thanks to faster, better, and more consistent machine performance
