Roofbird

Roofbird addresses the challenge of inefficient lead generation for roofing contractors by using artificial intelligence to evaluate properties within a chosen geographic boundary. The system first learns a company's typical projects and sales approach from its online presence, then applies that knowledge to score roofs for visible wear, age indicators, and neighborhood patterns. Users draw custom service areas on a map and receive prioritized lists that exclude recently replaced or incompatible roofs. Each entry includes a probability score along with supporting details on condition and estimated costs, plus printable materials for direct contact. The service supports multiple plan levels with varying lead volumes and area limits, all relying on the same core analysis engine. Scans can be repeated as needed, and results integrate with common export formats for further workflow use.