Case Study: Sunbelt Asphalt saves 250 hours with Birdi's AI-assisted asphalt detection

Sunbelt Asphalt saves 250 hours with Birdi

Sunbelt Asphalt, a company delivering large-scale road maintenance programs, faced a challenge with its time-consuming and inconsistent manual process for auditing asphalt patches. Their teams used handwritten notes and estimates, leading to fragmented data and reactive planning for a project spanning 183 miles of roadway. They turned to the vendor Birdi to implement a more structured solution using its drone mapping and AI-assisted detection platform.

Birdi provided a solution where Sunbelt could upload drone imagery to create measurable maps. Using Birdi's tools and a custom GeoAI model for asphalt detection, the company automated the measurement of patch areas, replacing manual audits. This resulted in an estimated time saving of 250 hours per network inspection. The solution also provided a single source of truth for data, improving predictability in planning, crew allocation, and billing.

Sunbelt Asphalt