Inspection backlogs measured in years
Crews can only drive so many lane-miles, so inventory and condition data ages faster than it is collected. Mobile LiDAR and imagery capture whole corridors in a pass, and desk review does the rest.
Transportation
Turn corridor data into safer, faster networks
Roads, rails, and ports are linear assets measured in thousands of miles, and the agencies that run them can't inspect what they can't see. Corridor-scale capture and a shared network model replace windshield surveys with desk review.
Challenges we solve
What transportation teams bring to us
These are the problems that show up in our first conversation — and where the map starts paying for itself.
Asset data split across districts
Each district keeps its own spreadsheets for signs, barriers, and pavement, so a network-level answer takes weeks of consolidation. One network model makes the system-wide question a query.
Projects planned on outdated corridors
Widening and safety projects scoped on old basemaps meet a different corridor at design time. Current, survey-grade corridor models keep scoping, design, and construction aligned.
Capabilities
How we get there
The mix of platform, sensors, and people we reach for most in transportation work.
Surveying & Mapping
Mobile LiDAR and drone corridors captured at survey grade — thousands of lane-miles without lane closures.
GIS Software & Analytics
A single network model where inventory, condition, and crash data answer questions at network scale.
Satellite & EO Data
Scheduled imagery over corridors and facilities flags encroachment, slope movement, and change between inspections.
State DOT
Windshield surveys became desk reviews
A state DOT built a corridor digital twin from mobile LiDAR and imagery, letting inspectors review assets from the office and cutting its field inspection backlog by nearly half.
45%
Inspection backlog cut with corridor digital twins
Put your transportation operation on the map
Tell us what you need to see, measure, or connect in your territory — we'll bring the right mix of platform, sensors, and people.
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