The results were immediate for residents and staff.

Westhampton’s public works team managed a spread-out local road network with patchwork records and occasional windshield surveys, leaving them unsure which roads to fix and when. Outdated and inconsistent data meant no accurate paving budgets and not sufficient information to make informed decisions and act fast to serve community needs. At the same time, leaders struggled to show efficient use of taxpayer dollars and faced frequent why not my road questions at town meetings without a transparent, defensible methodology.
Westhampton selected Cyvl to rapidly survey every public roadway using vehicle-mounted LiDAR, high-resolution sensors, and GPS, capturing continuous pavement conditions across 46 miles. Within weeks, the Infrastructure Intelligence platform applied AI to produce objective condition scores, segment-level distress mapping, and prioritized repair lists aligned to realistic work windows and budgets. Delivered on September 29, 2025, the town received defensible plans, dashboards, and exportable reports that became a single source of truth so leaders could make better decisions and take action faster.
The results were immediate for residents and staff. With detailed, actionable pavement condition data for 46 miles, Westhampton built a comprehensive, data-driven paving program in a fraction of the usual time. Because findings and plans arrived in weeks instead of months, crews scheduled work sooner, and the town set clear timelines and tradeoffs the community could understand.