Aixtal

We explore the optimal conditions to maximize the performance of your existing manufacturing equipment and facilities. By building digital twins in a virtual environment for trial-and-error testing, we significantly reduce development time and costs.
We construct surrogate models for simulations to minimize heavy physical calculations. By creating models that instantly predict outcomes, we reduce computation times from several hours to mere milliseconds.

We offer a highly practical curriculum. It goes beyond machine learning theories like Bayesian Optimization to focus on how to actually handle and apply real manufacturing data into analysis. Rather than just classroom learning, clients can collaborate with our engineers to explore analytical methods using their actual, real-world challenges.

We offer PIC (Process Informatics Campus), a platform for structuring, collecting, and analysing manufacturing process data to improve quality and accelerate process optimization