We independently evaluate, develop, and improve AI models for engineering simulation. Starting with your task and your data, we establish what a useful model needs to deliver and how to test it.
Whether you are considering a new application, developing a model, or investigating results that fall short, we take on a defined part of the work
Assess whether AI is worth pursuing for your engineering task. We scope a prospective project’s size, ROI, and risk, and provide a proof of concept.
Build a model for your engineering requirements. We develop and test the model, open-source or proprietary, and agree how it fits your workflow.
Investigate a model that struggles with new designs or misses physical behavior. We examine it and identify what needs to change.
Help your engineers understand AI models. We deliver public courses through NAFEMS and offer training for engineering teams and decision-makers
Understand where AI can shorten simulation and design cycles
Evaluate predictions against reference data and the precision your engineering teams require
Establish where a model can be trusted and where further simulation is needed
Our publicly funded research explores the practical use of AI in engineering simulation.
We scope the work around the question you need answered or the model you need built, with a clear agreement on the first assignment
We discuss the engineering task, the available data, and the result you need.
We propose a paid assignment with a defined scope, deliverables and budget. This can be an evaluation, development work, or an investigation of an existing model.
We choose methods suited to the task and data, carry out the development, and assess the results against your engineering requirements.
You receive the agreed outputs, findings, limitations and recommended next steps.
Tell us about your engineering task, where you are now and what needs to work better.
