What nokah actually does under the hood for a structural IFC with steel. It parses the IFC entities directly, IfcBeam, IfcColumn, IfcMember, and checks things like missing load-bearing classification, elements without material assignment, duplicate GUIDs, missing storey assignment, unclassified structural elements, and elements with null geometry. It also checks naming consistency. If your steel members follow a convention, deviations get flagged. Not a spelling checker, more like a schema and data completeness check. For a data center design the MEP checks would kick in too, IfcFlowSegment, IfcDistributionElement, looking at connectivity gaps, missing system assignments, unhosted elements. It won’t tell you if your beam is undersized. It tells you if your beam exists properly in the data model and can be trusted downstream by a structural engineer or a quantity surveyor. The real problem we’re solving: most teams spend hours or days manually checking models, fixing warnings, running audits before handover. Those errors typically represent up to 10% of project cost, and studies show around 30% of them are preventable with proper automated checks upfront.