
Ilosta has developed a ground-breaking technology using a physics-based AI algorithm to improve the reliability and increase the lifespan of engineering structures. Ilosta provides analytics to inspectors, surveyors, asset owners and insurance providers to give them a deeper understanding of their asset integrity. The company offers solutions to bridge the gap in data analysis for inspections, providing advanced tools to accurately assess and address potential issues. Ilosta's physics-based AI model accurately predicts defects, offering a cost-effective and efficient solution with a significant reduction in analysis time from three months to three days. Their innovative technology is reliable, cost-effective, faster, and multi-sector. Ilosta's software features 3D modeling, detection and classification of defects like cracks, damage mapping, and damage evaluation. They also offer services such as Blade Analysis, Tower Analysis, Computational Fluid Dynamics (CFD), and Finite Element Analysis (FEA), utilizing technologies like Python, MatLab, R, and C++.

Ilosta has developed a ground-breaking technology using a physics-based AI algorithm to improve the reliability and increase the lifespan of engineering structures. Ilosta provides analytics to inspectors, surveyors, asset owners and insurance providers to give them a deeper understanding of their asset integrity. The company offers solutions to bridge the gap in data analysis for inspections, providing advanced tools to accurately assess and address potential issues. Ilosta's physics-based AI model accurately predicts defects, offering a cost-effective and efficient solution with a significant reduction in analysis time from three months to three days. Their innovative technology is reliable, cost-effective, faster, and multi-sector. Ilosta's software features 3D modeling, detection and classification of defects like cracks, damage mapping, and damage evaluation. They also offer services such as Blade Analysis, Tower Analysis, Computational Fluid Dynamics (CFD), and Finite Element Analysis (FEA), utilizing technologies like Python, MatLab, R, and C++.
Founded: 2019
Headquarters: Glasgow, Scotland
Core product: Physics-based AI Crack Map™ platform for non-contact structural inspection and damage prediction
Primary sectors: Wind-turbine blades and towers / multi-sector structural assets
Team size (reported): 12 employees
Bridging the gap in inspection data analysis and subsurface damage prediction for engineering structures (notably wind-turbine blades and towers).
2019
Data and Analytics
Listed as a grant event
Listed as a venture round
“Scottish Enterprise; Equity Gap; University of Strathclyde; The Offshore Wind Growth Partnership”