Cluttered indoor scans
Occlusion, furniture and tight spaces make interiors slow and error-prone to classify manually.
Industries · BIM · indoor mapping
BIM & Indoor Mapping
Turn dense indoor and terrestrial scans into typed, scan-to-BIM-ready objects — walls, floors, ceilings, openings, MEP and furniture — classified automatically instead of traced by hand.
The challenge
What makes it hard.
Scan-to-BIM is manual
Turning a raw point cloud into a structured BIM model is one of the most labour-intensive steps in the workflow.
Consistency across a building
Rooms, floors and captures from different operators must resolve to one consistent, comparable model.
Handover into BIM tools
Getting classified geometry into Revit, IFC and BIM pipelines is fiddly and manual.
How Flai helps
One engine, tuned to bim & indoor mapping.
The same FlaiCortex engine, specialised for the objects and standards your work depends on.
- Classifies walls, floors, ceilings, doors, windows, MEP and furniture
- Scan-to-BIM-ready typed objects, not just points
- Consistent results across rooms, floors, operators and epochs
- Feeds BIM / IFC pipelines via the API
- Cloud or on-premise, at building and campus scale