Featured Projects
Explore our most impactful projects that showcase our technical expertise and innovative solutions.
Grain Boundary Analysis
ML-assisted analysis of grain boundaries in metallurgical samples: computer-supported workflows, optional automated evaluation, embeddable via API.
Training Data Generation
Developed sophisticated algorithms for generating high-quality training data for grain boundary detection machine learning models, significantly improving model accuracy and performance.
Surrogate Model Training
Machine learning surrogates that approximate FEM simulations—orders-of-magnitude faster inference for design exploration, optimisation loops, and digital twins.