Drones and AI for infrastructure inspection
Pavement condition, measured from the air.
A 15-minute drone flight becomes a full ASTM PCI report: every crack, pothole, and rut measured and mapped, with the repair plan priced. Fly any survey-grade drone, or Nimbus, our long-range VTOL built to fly beyond visual line of sight.
One report, three jobs.
An owner, a contractor, and a drone operator each need something different from a PCI report. All three end up with a number they can defend.
“I manage pavement assets.”
Score every site to one objective standard, compare contractors on the same data, and validate the work you paid for.
Analyze, compare, validate
“I bid on paving work.”
Bid from measured quantities: every distress on the lot totaled in square meters, ready to price.
Bid with data
“I operate drones.”
Turn flights you already fly into engineering documents your clients pay for.
Sell the analysisShow the work
Raw imagery in. Engineering data out.
You are looking at a real runway. Drag the handle.
Raw imagery
HALO AI detection
One real inspection, as HALO AI reported it.
Will an AI score hold up in an audit? The deduct values and the max CDV are printed in the report, so your auditor can re-run the ASTM math by hand. See the full sample report.
What we inspect
One platform, every paved and concrete asset.
The same platform reads all four. Start with the surface you manage.
Parking Lots & Sites
A 15-minute flight returns ASTM D6433 repair quantities and a trip-hazard map, usually the same day.
Airport Runways
ASTM D5340 PCI from one off-peak flight, with no inspection crews walking the pavement.
Roads & Highways
A measured PCI for every segment on the network, scored by the same model each time.
Concrete & Bridges
Cracks from 1 mm and spalling, measured on bridges, tunnels, dams, and retaining walls.
The platform
HALO AI scores the full ASTM PCI from the drone you already fly.
HALO AI traces every crack, measures every rut, swell, and depression in depth and height, scores the pavement to ASTM D6433 or D5340, and prices the repairs at your own unit rates. You get back an engineering report with the repair plan, and an interactive map of the whole survey that opens in any browser.
Crack width, length, and area come back 98% accurate, and the PCI map lands within 95% of what a qualified engineer scores on the same pavement. Two engineers scoring the same surface by hand typically land about 16% apart. One model scores every survey, so the number you get in March is comparable in October.
HALO AI needs high-resolution, georeferenced imagery. DJI, Wingtra, Skydio, and more already produce it, and files upload as they come off the card.
Explore HALO AI
The aircraft
Nimbus maps the whole corridor in one flight, beyond visual line of sight.
Nimbus takes off and lands vertically from any clear patch of ground and flies up to 300 km before it lands. Built for BVLOS work, it lets one operator fly the whole corridor from one launch point and bring it back as one continuous dataset.
It carries the sensors survey clients pay for: a full-frame mapping camera, a LiDAR unit with its IMU, or thermal and RGB together. Sony, Phase One, YellowScan, Gremsy and Workswell heads are already integrated, and Nimbus is in serial production.
Explore NimbusWhy Fadron
Why Fadron
We build the aircraft, the AI, and the report.
One team stands behind the number in your report, the software that produced it, and the aircraft that captured it. Changes to any of the three are engineered and validated in house.
Our mission is to make critical infrastructure safer, smarter, and more resilient by combining drones and AI into a seamless system for continuous, automated inspection. That leads to condition monitoring on a fixed interval: every asset measured on the same basis, on a schedule, before anything has failed.
Named Innovative Enterprise of the Year 2025 by ARC Fund. Holder of an EIC Seal of Excellence.
About FadronNews & insights
From the field and the lab.
Technical notes and field stories on drone inspection, long-range mapping, and AI perception, on the Fadron blog. Every post carries at least one original number or image.
- Runway FOD: what a walk-down finds, what it misses, and what that costs in closure time.
- The ground sampling distance your survey actually needs: about 5 mm/px for road PCI, about 3 mm/px for airfields.
- Why catching a crack under 2 mm buys three to five more years of pavement life.
See what HALO AI finds on your pavement.
Meet HALO AI, the analysis platform, and Nimbus, the aircraft. Send imagery of your own site and we will analyze 1 ha of it at no charge.