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.
Prediction Tools for Steel Structures
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
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.
$1999
Physical rack modelling, OpenSees static analysis, member review and production intelligence in one coordinated model.
Pipe lengths by type and diameter and legend symbol counts from AutoCAD DXF floor plans, with unit prices and a PDF quotation.
Credit-based
AI-powered crack-meter analysis with environmental data integration and engineering time-series reports.
From Sign-Up to Prediction in Minutes
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.