Your IFC models ingested.Your geometry extracted.Automatically.

Wednesday 10:31pm, architecture firm. Your BIM manager is still at the office processing the point cloud from the tertiary renovation site, 120 million points, laser-scanned Monday by the surveyors. She opens Cloud Compare, isolates load-bearing walls by hand, exports to Revit, and realizes a floor is missing. Professional error? No, the scan just captured two overlapping levels and nobody could see it without AI segmentation. The client comes at 9am the next day to validate the takeoffs. Your BIM manager will sleep three hours. This scene plays out on every project where 3D meets a human.

McKinsey measured that advanced BIM firms deliver projects 20% faster and with 30% fewer takeoff disputes than those still on DWG. The Scan-to-BIM market is growing 18% per year because European energy renovation legislation now mandates precise geometric audits of existing buildings. Forrester predicts that by 2027, 60% of European architecture firms will have automated their IFC + point cloud pipeline, those who don't will lose tenders to the faster ones.

Wikolabs installs AI systems built on open-source models, on your premises, paid once. No black box: your data, your prompts and your history stay in your infrastructure. We quote at a fixed price or on time and materials, never per ticket or per token, and we say before you sign what works and what does not yet.

Concretely: you drop your IFC, LAS, LAZ, E57, RCP or 12+ other formats onto the interface or via cloud bucket. BimFlow parses IFC 2x3 and 4.0 models, segments point clouds with RANSAC and deep learning, identifies every element with ±2mm precision. Results exported as GeoJSON, CSV, JSON or directly into Revit, BIM 360 or Autodesk Forge via API. 100 million points processed in under 3 minutes. Your BIM manager goes home at a reasonable hour.