Using spatial topology and attribute data with AI algorithms, the system detects facility risks —cracks, leaks, aging— while analyzing 

energy use, occupancy, and foot traffic 

to create visual reports and maintenance plans, aiding daily operations and green upgrades for public buildings.

Using high-precision point cloud data with semantic segmentation and geometric fitting algorithms,
it auto-extracts component dimensions and spatial relationships, building IFC-standard parametric BIM models rapidly.

Embedded material/equipment properties enable digital twins for full lifecycle management of maintenance and retrofits.