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AI for BIM & IFC models

AI Clash Detection for BIM Models

Before scheduling a full coordination session, the Nomic agent can scan your IFC model for likely clashes and coordination gaps: structural elements that intersect MEP systems, openings without hosts, ducts that pass through fire-rated walls. Run it during design, not after.

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Nomic agent interface showing BIM model tasks: quantity takeoffs, coordination checks, and property validation running over an IFC building model
Surface clash candidates during design, not in the field
01 / AI-assisted coordination checks

Surface clash candidates during design, not in the field

Full Navisworks clash sessions are powerful but heavyweight, scheduled late in the coordination cycle when changes are expensive. The Nomic agent gives design teams a fast first pass: upload your IFC, give the agent a coordination task, and get a structured list of candidates to investigate before the formal coordination meeting.

  • Check structural elements against MEP systems by level and building zone
  • Find openings (voids) that do not have an associated door or window
  • Surface elements that span across building storeys unexpectedly
The agent queries your model's spatial relationships directly
02 / How it works

The agent queries your model's spatial relationships directly

Nomic extracts the IFC model into structured tables including elements, relationships, and spatial data. The agent writes SQL queries over those tables to find geometric and topological conflicts: containment violations, missing void-filling elements, system overlaps, and returns a cited list with element IDs, levels, and categories for your team to verify.

  • Query relationship tables for containment, voids, and system memberships
  • Filter results by discipline, category, or level for focused review
  • Get element IDs and properties to locate issues in your authoring tool
Prioritize issues before the coordination meeting
03 / Coordination outputs

Prioritize issues before the coordination meeting

The agent returns structured results: element pairs, categories, levels, and relationship types that your coordination team can triage before opening Navisworks. Catch the obvious conflicts early so formal sessions focus on the hard cases.

  • Export clash candidate lists to Excel or JSON for issue tracking
  • Filter by discipline pair (structure-MEP, architecture-MEP) for team assignment
  • Cross-reference findings against project specs stored in the same Nomic space
Outcomes

What teams get from this workflow

Earlier clash visibility

Find coordination conflicts during design when a fix costs hours, not during construction when it costs weeks.

No BIM coordinator required for early checks

Any team member can run a coordination task on the IFC model. No specialist software or Navisworks session needed.

Focused formal coordination sessions

Enter your Navisworks sessions knowing which areas need the most attention, not starting from scratch.

FAQ
Questions about this AI for BIM & IFC models workflow

Answers to common questions about this workflow.

Is this a replacement for Navisworks or dedicated clash detection software?

No. Nomic provides AI-assisted design-stage coordination triage over BIM data and model relationships, not geometric clash detection at the same fidelity as a dedicated engine. Think of it as an early-warning pass that helps teams prioritize before formal coordination.

What kinds of clashes can the agent find?

The agent can identify structural elements that intersect MEP systems by spatial relationship, openings that lack associated fill elements, ducts or pipes passing through fire-rated walls, and elements that are assigned to unexpected levels or zones, all from the model's extracted data.

Do I need to set up clash rules or filters?

No. Just describe what you want the agent to check. It translates your task into a query against the model data. You can also ask follow-up questions to narrow results by level, category, or discipline.

Can I run coordination checks across multiple IFC models?

Yes. Upload multiple IFC files to the same Nomic project space and the agent can query across them, for example, checking architectural voids against structural elements from separate federated models.

AI for BIM & IFC models

Related AI for BIM & IFC models workflows

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AI for BIM & IFC Models

See the full AI for BIM & IFC models workflow on the parent use case page.

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Query Your IFC Model: AI BIM Data Extraction

Ask plain-English questions about any IFC file and get answers grounded in real model data. The Nomic agent runs SQL over your extracted BIM tables. No Revit license, no BIM specialist needed.

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Automated Quantity Takeoff from IFC Models

Run quantity takeoffs directly from your IFC model. The Nomic agent pulls counts, areas, volumes, and lengths by category, level, type, or material. No schedule exports, no separate QTO tool.

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“Nomic allowed our check to be more technical and focused on the engineering.”
Jacob EmmonsWater, Arcadis United States
See how Arcadis scales its engineering expertise
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Dave Mackenzie

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AI Clash Detection for BIM & IFC Models: Design-Stage Coordination | Nomic