The result is speed that residents can feel on their streets. From the June 3 delivery, Meriden moved from planning to work orders within weeks, shrinking the time between data collection and construction.
Meriden’s pavement assessments were slow, manual, and expensive, with staff driving streets and jotting notes that were hard to compare year over year. Data often arrived months later and lacked block-by-block detail, making it difficult to build a confident plan, defend budgets, or move contractors to the right locations fast. Meanwhile, freeze–thaw cycles and everyday traffic created new potholes and rough segments, leading to flat tires, detours, and rising frustration from residents.
Meriden selected Cyvl to rapidly survey the entire network using vehicle-mounted LiDAR, HD imagery, and precision sensors. Cyvl captured and analyzed 193.8 roadway miles and delivered detailed, actionable pavement condition data through the Infrastructure Intelligence platform by 2025-06-03, including geolocated distresses and street-by-street condition scores. With AI-driven dashboards, the City assembled a clear, comprehensive paving and preservation plan, produced project-ready street lists, and modeled budget scenarios in days instead of months.
The result is speed that residents can feel on their streets. From the June 3 delivery, Meriden moved from planning to work orders within weeks, shrinking the time between data collection and construction. With better information, the City can maintain or repave up to 5x more roads than traditional methods, delivering smoother, safer travel while using taxpayer dollars more efficiently.