IFC Data Exchange AI
AI optimization of IFC model exchange between different BIM platforms.
Definition
IFC Data Exchange AI improves the quality of IFC (Industry Foundation Classes) model exchanges between different BIM software platforms. It validates IFC exports, repairs common issues, and ensures critical data is preserved during model exchange for open BIM workflows.
In Depth
IFC data exchange — sharing BIM models through the open Industry Foundation Classes format — remains challenging despite the format's maturity because different BIM platforms interpret the IFC schema differently. AI helps by validating IFC exports, identifying data loss during translation, and mapping elements between source-platform-specific properties and IFC standard properties.
The validation step checks that the IFC export contains all of the information that was present in the source model — verifying that custom parameters were mapped to appropriate IFC property sets, that spatial hierarchy (building → story → space) is preserved, and that element relationships (wall hosts window, room bounded by walls) are maintained. Data loss during IFC export is common, and AI identifies what was lost so the team can address it before the model is used for coordination.
Examples
Validating IFC exports
Repairing IFC issues
Ensuring data preservation
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
IFC Data Exchange AI improves the quality of IFC (Industry Foundation Classes) model exchanges between different BIM software platforms. It validates IFC exports, repairs common issues, and ensures critical data is preserved during model exchange for open BIM workflows.
Validating IFC exports. Repairing IFC issues. Ensuring data preservation.
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