AI-powered earthwork optimization for a 12-acre commercial pad.
A civil engineering firm implementing predictive automation for grading and excavation.
Use drones and sensors to monitor site progress, measure material movement, and improve heavy-equipment efficiency using feedback-driven learning models.
Weekly drone flights were integrated with on-site GNSS telemetry. NationOS processed DSM/DEM data to compute real-time cut/fill ratios, generating predictive grading models for autonomous machine guidance. Each iteration of field data reinforced the learning cycle — allowing equipment to become more efficient over successive projects.
