Maintain-AI automates road and pavement network assessments using computer vision: detecting pavement defects and infrastructure elements, assessing severity across more than 40 object detection types, and presenting results through an intuitive dashboard. It also supports footpath and sidewalk assessments, aimed at local governments and infrastructure agencies managing road networks.
Objective, consistent detection – the same defect assessed the same way every time, rather than relying on an inspector’s subjective judgment that can vary person to person and visit to visit – is the real value for network-scale road maintenance budgeting. Catching defects earlier and more consistently through frequent, automated inspection directly supports the stated “Good Roads Cost Less” philosophy: preventative maintenance is cheaper than full reconstruction after a road has deteriorated too far.
This is specialized infrastructure-assessment technology for agencies managing real road networks, not a general consumer or small-business tool – value scales with network size and inspection frequency. No pricing is published; the company offers flexible options with or without long-term commitments, pointing toward a sales-led evaluation process.
