New:
AI for BIM & IFC models
IFC Model Checker — BIM Data Validation & QA/QC

The Nomic agent validates your IFC model against project information delivery requirements — property sets, fire ratings, classification codes, U-values, COBie parameters, and asset tags. Run a full model audit in minutes.

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Nomic agent interface showing BIM model tasks — quantity takeoffs, coordination checks, and property validation running over an IFC building model
Verify the model carries the data it should
01 / Information delivery checks

Verify the model carries the data it should

BIM Execution Plans and Employer Information Requirements specify what data elements must carry. Nomic checks the IFC against those requirements directly: which doors are missing a fire rating, which walls are missing a thermal transmittance value, which elements lack a classification code. Every gap surfaces as a clear finding.

  • Check for missing property sets across any element category
  • Validate required values (fire ratings, U-values, COBie fields)
  • Flag elements that lack classification codes or asset tags
SQL-based checks over real property data
02 / How the agent validates

SQL-based checks over real property data

Nomic extracts every property set and quantity from the IFC into structured tables. The agent queries those tables to find elements where required fields are null, out of range, or inconsistent — returning a cited list with element IDs, categories, levels, and the specific missing or invalid data.

  • Query across all property sets in a single pass
  • Filter findings by category, level, or discipline
  • Export results as a structured issue log for model authors
Catch information gaps before handover
03 / Handover compliance

Catch information gaps before handover

COBie and asset-data requirements are notoriously hard to validate manually. Nomic gives model authors and BIM managers a fast audit pass before handover — so information delivery deficiencies are caught and corrected while the authoring team is still engaged, not discovered by the FM team after contract close.

  • Validate COBie-required fields (space name, zone, floor, component data)
  • Check asset tags and maintenance-related properties for facilities handover
  • Compare model data against information delivery specification documents in the same project space
Outcomes

What teams get from this workflow

Model audits in minutes

A validation pass that used to take a BIM manager a day of manual spot-checking now runs in minutes against the full model.

Catch gaps before handover

Information delivery deficiencies surface during design when they are cheap to fix, not after contract close when they trigger disputes.

Consistent, repeatable checks

The same validation runs every time, against every element — no variation between reviewers, no manual spot-checking.

Questions about this ai for bim & ifc models workflow

Answers to common questions about this workflow.

Can I define custom validation rules for my project?

Yes. Ask the agent to check for any property, value, or combination of conditions defined in your BEP or EIR. You can also upload your information delivery specification document to the project space and ask the agent to compare the model against it.

Does Nomic validate against IDS (Information Delivery Specification)?

Nomic can check the properties and values specified in an IDS document — upload the specification and ask the agent to validate the model against its requirements. Full automated IDS schema validation is on the roadmap.

Can Nomic check COBie data?

Yes. The agent can check for COBie-required fields including space names and numbers, floor assignments, component types, and maintenance-related properties. Ask "Which spaces are missing a COBie zone assignment?" and the agent returns the full list.

How do I share validation findings with the model author?

Export the validation results as Excel or JSON and share them with the model author. Results include element IDs, categories, levels, and the specific missing or invalid data — everything the author needs to locate and fix the issue in their authoring tool.

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"Nomic empowers us to build and deploy domain-specific AI to our whole global design team."

Dave Mackenzie
Dave Mackenzie

Managing Principal Digital

+30%

Productivity Increase

+20%

Engineering Capacity Increase