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Identify missing or conflicting information in IFC models and auto-draft RFIs for the design team.
Use Gemini AI to analyze IFC structure and auto-categorize files as structural, architectural, or MEP packages.
Send IFC metadata and element counts to Gemini AI to check against project specs or code requirements and flag discrepancies.
Extract project name, address, and building type from IFC header metadata (IfcProject, IfcSite, IfcBuilding) to auto-fill project records.
Extract every beam, column, plate, and footing with profile types, lengths, and materials from IFC models for complete structural BOM generation.
Check for spatial overlaps between element categories (steel vs. MEP, structural vs. architectural) to catch coordination issues early.
Map extracted IFC quantities directly to estimate line items for automated cost estimation from BIM models.
Export quantity takeoffs and member schedules as CSV or Excel files for estimators and project managers.
Pull building height, story heights, and foundation depths from the IFC model hierarchy automatically.
Extract slab areas per level from IfcBuildingStorey data for space planning and cost estimation.
Show total linear feet grouped by cross-section profile (e.g., W12x26: 342 LF, HSS6x6x1/4: 128 LF) for quick steel takeoffs.
Generate beam/column schedules (cross-section, linear feet, mark number, count) grouped by shape, like a traditional structural drawing table.
Generate structural summary reports with element counts, material lists, and screenshots from standard views as downloadable PDFs.
Compare as-built IFC models against design models to visually track construction progress and identify deviations.
Extract volumes, areas, and weights from IfcElementQuantity property sets for estimating workflows.
Compare two IFC files and summarize what changed between submittals — added members, modified connections, removed elements.