Cyvl.ai

Cyvl is an infrastructure assessment platform for cities and public works agencies. It mounts LiDAR and 360 degree cameras on city vehicles, captures streets, sidewalks and other assets as the vehicles drive, and uses AI to map what is there, measure dimensions and assess condition. The goal is to replace outdated records and complaint driven repairs with a current view of the network. The workflow has three steps: capture, decide and act. Public works teams use current condition data to plan repairs and budgets, then capture again after the repair to see what changed. The vendor says it is connecting sensor insights with city records such as 311 reports, permits, work history and budgets, so teams can plan, direct crews and verify repairs, and it is building a shared view for coordinating road, drainage, sidewalk and utility work. Published case studies cover Atlanta, where the vendor reports 60 percent fewer downtown potholes than in 2024, and Buffalo. Pricing is not listed. The pricing page says quotes are based on network size, asset scope and update frequency, with scoped pilots available and no vehicle or hardware purchase required. Eligible agencies can buy through cooperative, federal or approved reseller channels, and requests go through a demo booking form.