Machine learning powered engineering tools for structural analysis and design — built on peer-reviewed research, validated by experiments, and trusted by engineers.
SteelPredictor is a research-oriented technology platform dedicated to delivering machine learning powered engineering tools for structural analysis and design. Founded by experienced researchers and structural engineers, we bridge the gap between advanced scientific knowledge and practical engineering workflows through transparent, high-accuracy, and academically validated software.
We specialize in data-driven tools that transform traditional structural engineering processes. Our software eliminates the need for finite element simulations or physical testing by providing instant, interpretable, and engineering-grade predictions. Each tool we build is grounded in rigorous experimental data and scientific publication.
Every tool is derived from published research and designed for real engineering workflows.
High-temperature steel strength
Estimates the residual tensile strength and Eurocode/AISC-compliant reduction factors of steels exposed to elevated temperatures.
Impact-induced stress in steel columns
Predicts peak stress and deformation in multi-cell steel columns subjected to axial impact, using a simulation-trained ML model.
Buckling capacity of rack uprights
Forecasts the axial buckling load of cold-formed storage rack uprights, using geometry-based regression models.
Connection stiffness prediction
Predicts the rotational stiffness of rack beam-to-upright connections using machine learning, replacing costly physical connection tests.
Beam load-carrying capacity
Instantly calculates a beam’s load-carrying capacity based on span (L), section, and material properties.
Each software tool is derived from peer-reviewed scientific research and validated through experimental testing and finite element analysis. We do not offer black-box tools — every result is traceable, explainable, and referenced.
Our software serves professionals and institutions across the structural engineering field.
All software is offered on an annual subscription basis:
Academic discount is not available.
We believe machine learning should empower engineers, not replace them. Our tools are designed to complement professional judgment, accelerate decision making, and reduce design uncertainty. With SteelPredictor, engineers gain instant access to validated predictive models — helping them design safer, more efficient structures, faster.