Full Matrix
Modelling & AI
Our FM-FEM platform predicts ultrasonic behaviour on your geometry, generates synthetic datasets, and powers GP-based defect analytics with uncertainty quantification. We can also provide validation against third party modelling platforms such as ABAQUS.
Where this shines
• De-risking before hardware spend or field time
• Designing techniques and procedures for tricky geometries
• Training ML models where labelled field data is scarce or expensive
• Compensating temperature and/or operational effects
What we deliver
• FM-FEM studies + visualisations for pipes/plates/complex features
• Synthetic datasets for classifier/regressor training
• Gaussian-process models with uncertainty quantification 'baked in'
• Reduced order model acceleration
We couldn't buy a modelling package that did what we wanted - so we made our own.
Outcomes
• Clear signal/array design choices backed by deep physics understanding
• Trained models with performance + uncertainty quantification
• Enhanced defect detection capability
• A measurement plan that avoids dead ends
Engagement models
• Modelling scoping: questions, scope, validation plan
• Study & iterate: scenarios, sensitivity, design choices
• ML build: training, metrics, deployment guidance
As a small company, we can be agile to your exact requirements and would love to discuss how we can help solve your challenges. Get in touch now!
