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Road maintenance software to analyze road distresses and create asset inventories four times faster and at half the cost

Install the app. Drive around your road network. RoadAI takes care of the rest.

Powered by computer vision and reliable methodology, RoadAI accurately assesses the road surface condition, empowering you to get up-to-date road asset information faster, more frequently, and at a fraction of the cost compared to manual surveys.

Reliable detection of a wide range of defects and assets

Powered by computer vision, RoadAI detects multiple distresses, fixes, and road assets. Work with asset-specific data or overall road surface condition ratings.

Distress detection

  • Cracking: Alligator, longitudinal, transverse, and wheel track

  • Potholes: Minor, moderate, and severe

  • Fretting: Moderate and severe

  • Other Distresses: Settlement, edge deterioration, and bleeding

Fix detection

  • Patching: Area and spot

  • Crack sealing: Longitudinal and transverse

Asset detection

  • Traffic signs: Prohibitory, indication, mandatory, and regulatory

  • Line markings: Longitudinal

  • Surface markings: Stop, yield, speed limit, and others

  • Other assets: Guard rails, street lights, manholes, and storm drains

Continuously assess your road network.

RoadAI provides the tools and data you need to make effective decisions.

Data collection

Collect data with smartphone whenever and wherever you drive.

Efficient analysis

Fast, objective, and transparent analysis with same-day delivery of results.

Road network overview

Up-to-date data of your entire road network with video footage you can refer back to at any time.

Now, inspectors can quickly create thorough, accurate pavement condition report using just a smart phone to support strategic monitoring and decision-making.

Reactive maintenance

Planned maintenance

Network inventory

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/

05

"The biggest thing that RoadAI has helped me with is to be able to show legislators, my employees, members of the public a rational plan for maintaining the highways. And that data has been invaluable."

Timothy Hunt

Highway Superintendent

Lewis County, New York, USA

Intuitive interface and powerful features

View your data in an interactive display and integrate it with your asset management tools using our data exports and developer-friendly API.

Computer vision labels

Road condition data overlays

Multiple feature layers

Data reports

Annotations and road assets

Video playback

Computer vision labels

Road condition data overlays

Multiple feature layers

Data reports

Annotations and road assets

Video playback

Improve road asset management with artificial intelligence.

Learn how RoadAI can help with your road asset management with our comprehensive eBook.

Driving along with RoadAI

We took RoadAI for a ride in Arizona's wild West with one of our customers to show how easy it is to collect road asset data with just a phone. Watch the video and see for yourself!

Want to try RoadAI on your own road network?

Book a demo or contact our team for a consultation.

Related Resources

Related
Resources

Client Stories

How Northumberland County Council gets the most out of RoadAI

Client Stories

Case study with Lewis County, NY: Proactive road maintenance made easy with RoadAI

Client Stories

Deploying automated data collection tool for road asset inventory: Madison County, TN