Underground utility mapping remains error-prone, leading to costly construction mistakes. An AI-powered solution could create accurate, updatable maps of underground infrastructure.
The service would process geospatial data from various sensors to map pipes, cables, and other assets. It would offer both mapping and real-time location services.
Construction firms and utility companies would pay for this to reduce project risks and delays. Pricing could be project-based or subscription.
The MVP could start with basic cable and pipe detection, expanding to more asset types.
The biggest risk is competing with existing GIS solutions—this needs to specialize in underground accuracy.