Lasurtex is a specialist company focused on intelligent monitoring and AI-driven inspection for laser-based manufacturing. We translate research-grade sensing and machine learning into deployable analytics that improve quality, reduce waste, and give engineers real understanding of their laser processes.
Get in touchOur work is grounded in peer-reviewed research across optical emission spectroscopy, acoustic emission sensing, and computer vision for laser process monitoring, applied specifically to the signal characteristics of laser manufacturing processes.
Laser processes are among the most precise and capable manufacturing technologies available, but they are also among the most sensitive to process variation. Small changes in beam quality, material state, or environmental conditions can shift output quality significantly, often without any visible warning until post-process inspection.
That gap between process and outcome is where Lasurtex operates. We build the sensing and intelligence layer that closes it, in real time, for laser machining, surface treatment, and additive manufacturing processes.
Most laser manufacturers still rely on post-process inspection to find quality problems that were created during the process. By the time a defect is found, the part is scrap and the machine time is wasted.
Our monitoring systems catch deviations at source, in real time, with enough diagnostic detail to understand the root cause and correct it before the next part. The result is less scrap, fewer inspection failures, and a process that improves over time as models are refined with new data.
We do not build generic monitoring platforms. Every model, every sensor configuration, every inspection system is built specifically for laser manufacturing processes and their unique signal characteristics.
Our methodology is built on published research in laser process monitoring. We bring the rigour of academic research and the practicality of industrial deployment together in everything we deliver.
We build systems engineers can trust and understand. Explainable AI outputs tell you why an alert fired, not just that it did, so your team stays in control of the process.