With complete condition data for 82 miles delivered on May 1, 2025, North Branford moved from reactive patches to a clear, citywide schedule residents can see and understand.
North Branford’s pavement program was running on outdated and inconsistent data, making it hard to know which streets to fix and when, and leaving paving budgets built on guesswork. Without reliable information, leaders found themselves playing defense to resident complaints—fielding 311 calls and tough questions like “Why not my road?” at public meetings. The city needed current, trustworthy data and a clear method to explain priorities so decisions felt fair, technical, and focused on community safety.
North Branford chose Cyvl to rapidly survey the entire network using vehicle-mounted LiDAR and sensors, scanning 82 roadway miles and delivering results by May 1, 2025—weeks instead of months. Inside Cyvl’s Infrastructure Intelligence platform, AI transformed the raw survey into street-level condition scores, candidate projects, and budget scenarios, all aligned to city goals. The city received detailed, actionable pavement condition data for every mile, plus prioritized repair lists and ready-to-share maps and reports that made planning and communication fast and defensible.
With complete condition data for 82 miles delivered on May 1, 2025, North Branford moved from reactive patches to a clear, citywide schedule residents can see and understand. Weeks-not-months delivery shortened the gap between data collection and construction, so improvements reach neighborhoods faster. Transparent segment scores and plan summaries help leaders explain “why this road, why now,” reducing friction in meetings and keeping crews focused on high-impact work.