For decades, pavement inspections have relied on manual field observations, disconnected image collections, spreadsheets, and time-consuming reporting. These traditional workflows often produce inconsistent evaluations, making it difficult to compare road conditions over time, prioritize maintenance, and make confident infrastructure decisions.
Pave Vision was created to modernize this process. By combining artificial intelligence, computer vision, and geotagged pavement imagery, our platform transforms raw inspection data into organized, measurable, and actionable insights. Engineers and infrastructure teams can detect defects, evaluate severity, monitor deterioration over time, and generate professional reports—all from a single cloud-based platform.

Moderate
Advanced computer vision identifies cracks, potholes, raveling, patching, and other pavement defects.
Make intelligent pavement assessment practical and accessible for organizations responsible for roads and paved assets.
We develop technology that solves real pavement inspection challenges. Every feature is designed to fit existing workflows, reduce manual effort, and deliver measurable value in the field.
Our AI delivers standardized, repeatable pavement assessments that teams can trust. Consistent data improves reporting, enables meaningful comparisons over time, and supports confident maintenance decisions.
Pave Vision is built as a scalable platform that continuously evolves with new AI capabilities, customer feedback, and seamless integrations to meet the future needs of infrastructure management.

A Canadian startup building the first AI-powered platform purpose-built
for pavement inspection and defects management.
Built in Canada.
Supporting Canadian Infrastructure.
Explore Pave Vision or talk with us about your inspection needs.