Survey every kilometre of road surface.
FlyPix AI is the no-code road damage detection software that turns drone, aerial, and mobile imagery into pothole locations, distress maps, and pavement condition scores — covering thousands of kilometres of network and saving up to 99.7% of manual survey time.
Rating one kilometre of road by hand takes 997 seconds.
FlyPix AI takes 3.
A single road network runs thousands of kilometres of carriageway that no survey crew can rate in time. FlyPix AI analyses the whole surface at once, so potholes and cracking surface before they spread into costly failures.
Crews drive and walk sections, scoring distress by eye section after section. Coverage is slow, ratings drift between inspectors, and damage is logged long after it appears.
Up to 99.7% time saved. Consistent, georeferenced distress findings you can track between surveys and export straight into your road asset-management system.
Pavement intelligence from above, without the code.
Road damage detection software ingests imagery of the road surface and analyses it to find defects, score condition, and flag change. FlyPix AI is a no-code platform that uses artificial intelligence to detect potholes, cracking, rutting, and surface distress, classify road markings and signage, and track change across drone, aerial, and mobile imagery of the carriageway. You upload your captures, label a few examples, and the AI engine rates the whole network — turning weeks of windscreen surveys into minutes of decision-ready insight.
Everything you need to assess road condition
One platform to detect distress, score pavement, measure, and track change across every kilometre of network — from a single section to a whole region.
Pothole & crack detection
Find potholes, longitudinal and transverse cracking, alligator cracking, and edge break across imagery in a single automated pass.
Surface distress analysis
Detect rutting, ravelling, bleeding, patching, and general surface wear and classify each type of pavement distress.
Pavement condition scoring
Turn detected distress into consistent condition scores per section so you can rank the network objectively.
Markings & signage
Assess faded road markings, lane lines, and signage so safety assets are logged alongside surface damage.
Change detection
Compare repeat surveys to surface what degraded, spread, or newly appeared between captures — automatically.
No-code custom models
Train a detector for the exact defect or road asset you care about by labelling a few examples — no programming.
From raw imagery to road condition in four steps
A no-code workflow built so road engineers, surveyors, and maintenance teams — not just data scientists — can run production-grade condition assessment.
Upload your imagery
Bring drone, aerial, or vehicle-mounted captures of the carriageway in any common format — RGB, multispectral, or LiDAR.
Label what matters
Mark a few examples of the distress or asset you want to find. A handful is enough for the engine to learn.
Let the AI assess
FlyPix builds a model from your labels and detects, classifies, and scores distress across the whole carriageway.
Explore & export
Review distress on interactive maps, then export georeferenced findings to your GIS or road asset-management software.
One platform for every sensor on the carriageway
Road condition assessment is more than true-colour pictures. FlyPix AI ingests the full range of imagery — capture fine cracking with high-resolution drone passes, measure rut depth and texture with LiDAR, and scale to whole networks with aerial and mobile surveys — all in one workspace.
See all supported formats →Built for every road-owning team
Train models for the exact distress and assets your network cares about and get analysis tailored to your operation.
Highway authorities
Network condition
Municipalities
Local roads & streets
Surveyors
Condition surveys
Maintenance contractors
Repair prioritisation
Asset managers
Pavement portfolios
Construction
New-build handover
Drone survey firms
Aerial road capture
Transport planning
Network analytics
Airports
Runways & taxiways
Toll & motorway operators
Mainline pavement
Why road teams choose FlyPix AI
The platform removes the bottlenecks that slow condition assessment: manual scoring, specialist headcount, rigid formats, and tooling that cannot keep pace with the network.
Assessment in seconds
Rate thousands of kilometres of carriageway in seconds instead of weeks of windscreen surveys — and repeat it every cycle.
A true no-code platform
Road engineers and surveyors train and run AI models on their own imagery — no programming, no data-science team.
Multi-sensor by design
Combine optical, multispectral, and LiDAR imagery from drones and survey vehicles and pick the right data for each defect.
Scales to any network
Zoom into a single junction or sweep an entire regional network at the cadence your maintenance programme demands.
What geospatial teams say
From industrial pilots to research labs to environmental missions — see how teams put FlyPix AI to work.
We ran a joint pilot with FlyPix AI in an industrial setting. We were impressed by the dedicated, easy-to-work-with team, their expertise, and how quickly they applied the technology to a novel use case.
FlyPix AI helped us go from idea to proof of concept in record time. The team was responsive, the platform was easy to integrate, and we tested geospatial insights on real property data within days.
FlyPix AI made it remarkably easy to turn drone imagery into actionable results — truly next-gen tech, delivering AI-driven analysis and cloud computing within minutes without complex setups.
What surprised us most was how effortless it was to start. The platform is robust, easy to navigate, and extremely reliable.
FlyPix AI helped us automate land-use classification with incredible precision and speed, saving months of manual work.
Working with FlyPix has significantly elevated the impact of our clean-up missions. We're proud to collaborate with a team that shares our commitment to environmental responsibility.
Turn your imagery into road condition.
Create an account and run your first AI road survey in minutes — no credit card, no code. Want help scoping your workflow? Our geospatial team will set it up with you.
Road damage detection software, answered
The questions road engineers, surveyors, and maintenance teams ask before switching to AI-powered condition assessment.
What is road damage detection software?
Do I need coding or GIS expertise to use FlyPix AI?
What kinds of road damage can FlyPix AI detect?
What imagery and data formats does FlyPix AI support?
Can FlyPix AI score pavement condition and prioritise maintenance?
How much time can FlyPix AI save versus manual surveys?
Can I try FlyPix AI on my own roads?
See what your road surface is hiding.
Join 10,000+ users automating image analysis with FlyPix AI. Upload your first survey and watch the AI map every pothole and crack in seconds.