AI road intelligence for cities

See every road.
Act sooner.

Turn the vehicles your city already runs into a continuous road survey—so maintenance teams know what needs attention, and where.

Live prototype detection
Regina, Saskatchewan
A clearer way forward

Road data should move as fast as the roads change.

Traditional condition surveys are expensive snapshots. In between them, teams rely on complaints and incomplete visibility.

Roadlens changes the cadence. Everyday fleet footage becomes current, geolocated evidence your team can review and act on.

Roadlens pavement condition heatmap from Regina
Built for the real world

From a drive to a city-wide view.

Roadlens finds cracking and potholes, follows each defect across frames, and turns raw footage into a usable layer of infrastructure intelligence.

Simple to capture.
Easy to trust.

No specialized survey vans. No new route planning. Start with phones or dashcams in the fleet you already operate.

Your fleet captures

Vehicles record streets as they drive their normal routes. Bring your own camera or add a dedicated capture kit.

Our AI makes sense of it

Computer vision detects, classifies, deduplicates, severity-rates, and GPS-tags road surface defects.

Your crew stays in control

Staff review every photo, approve or reject each finding, and export only the records they trust.

The Roadlens platform

One living view of your network.

Move from detection to decision in one clear workspace—built around the way public works teams already operate.

Roadlens city dashboard with a modern condition map, mapped road defects, and review table

See what matters

Filter the network by defect type, severity, and confidence.

Review with confidence

Approve or reject photo-backed detections before they move downstream.

Work with your tools

Export approved records in CSV and GeoJSON. Your data stays portable.

Real footage. Real output.

Proof you can inspect, not a black box.

Annotated road footage showing Roadlens detection output
Roadlens pothole detection with confidence score
Detection

Potholes and multiple crack classes

Longitudinal, transverse and alligator cracking are identified alongside potholes.

Human review

Your experts make the final call.

Roadlens puts municipal knowledge at the centre. A fast review queue gives staff the context and control to decide what becomes an approved record.

Redesigned Roadlens review and approve interface
Why continuous matters

Spend less time surveying. More time maintaining.

$170K+Typical cost of a conventional manual survey cycle for a mid-size city.
3–5 yrsA common gap between snapshots while the network keeps changing.
0New survey vehicles needed to start. Use vehicles already covering your streets.

Cost and survey-cycle figures are planning estimates and vary by municipality, scope, and procurement.

Ways to work together

Start where you are.

Prove the workflow on a focused district, then expand to the cadence and coverage your network needs.

Focused pilot
$12K

A fixed-scope district, processed footage, a live results dashboard, and an honest performance readout.

Explore a pilot
Periodic survey
~$30/lane-km

A one-time network capture processed into a complete geolocated defect inventory.

Plan a survey
Your roads. In focus.

Let’s start with one district.

Bring your existing vehicles and your toughest streets. We’ll bring the processing, dashboard, and evidence.

Book a pilot