A suite of ML-powered engineering tools — from high-temperature strength and buckling capacity to AI-driven structural crack monitoring — delivering instant, research-backed results without slow FEA setup.
Purpose-built machine learning applications that deliver fast, reliable estimates for common steel design problems.
$299
Predicting high-temperature strength of steels using machine learning.
$499
Predicting impact-induced stress in steel columns using ML and section-based modeling.
$499
Section-based buckling capacity prediction of rack uprights using machine learning.
$299
Rotational stiffness prediction of rack beam-to-upright connections using machine learning.
$399
Instantly calculates a beam's load-carrying capacity based on span, section, and material.
Credit-based
AI-powered crack-meter analysis with environmental data integration and engineering time-series reports.
Register for free and request a demo of any tool — demo requests are fulfilled within 24 hours.
Define your section geometry, material properties, and loading conditions in a simple interface.
Receive machine learning predictions instantly — no meshing, no solver runs, no waiting.
Try a free demo, or get in touch with our engineering team — we're happy to help you choose.