We automatically analyze infrastructure image data using Computer Vision & Machine Learning to efficiently provide objective insight into infrastructure asset state, quality & deterioration models.
Using limited training data, our solution is able to produce comparable accuracy rates, at a significant cost savings, to incumbent roadway analysis processes.
We enable frequent, cost effective visual inspection; allowing asset owners to adopt proactive maintenance strategies.
Find and repair defects before they become costly.
Our technology has been reported on by the CBC, CTV, The Waterloo Chronicle, Clean Technica, Engineering.com, The Record, CHCH, The Winnipeg Free Press among others.