Machine learning–powered prediction tools for structural steel engineering. All applications run directly in your browser — no installation required.
Predicting high-temperature strength of steels using machine learning.
Predicting impact-induced stress in steel columns using ML and section-based modeling.
Section-based buckling capacity prediction of rack uprights using machine learning.
Rotational stiffness prediction of rack beam-to-upright connections using machine learning.
Instantly calculates a beam's load-carrying capacity based on span, section, and material.
AI-powered crack-meter analysis with environmental data integration and engineering time-series reports.
Access your software right after purchase.
Demo access is granted within 24 hours.
Payments are processed over SSL via PayTR.
Contact us for technical questions.