With a verified inventory of 277 assets in hand, Montrose accelerated maintenance and safety improvements that residents notice.
Montrose’s public works team lacked current, consistent information on signs, curb lines, ramps, and other street-side assets, making it hard to know what to fix, where, and when. Staff often relied on manual spot checks and resident complaints, a reactive model that was slow, inconsistent, and expensive, leaving the city fielding constant “Why not my road?” questions at public meetings. Without trusted data, building defensible work plans and budget requests was difficult, stretching limited resources and pushing routine fixes into emergency mode.
To change that, Montrose chose Cyvl’s Infrastructure Intelligence approach to rapidly map transportation assets using LiDAR and high-resolution sensors across priority corridors, intersections, and sidewalks. Cyvl’s AI transformed the raw field data into a complete, GIS-ready asset inventory with condition indicators, compliance flags, prioritized repair and replacement lists, and exportable, defensible reports for leadership. The city received results in weeks—by November 16, 2023—so managers could move from reacting to complaints to executing a clear, data-driven plan.
With a verified inventory of 277 assets in hand, Montrose accelerated maintenance and safety improvements that residents notice. The team now knows exactly where 105 signs, 24 street light poles, 11 traffic signals, 23 curb segments, 16 sidewalk segments, 13 ramps, 18 water valves, 9 pedestrian push buttons, and more are located and what condition they are in, enabling targeted work orders and faster closeouts. Clear maps, photos, and scoring gave leaders confidence to communicate priorities, defend budgets, and schedule crews without delay.