AI for OmniClass
AI for working with OmniClass construction classification.
Definition
AI for OmniClass understands the comprehensive classification system for the built environment. AI can classify content across multiple OmniClass tables, support BIM classification, and enable standardized data exchange. This improves data interoperability.
In Depth
OmniClass is a comprehensive classification system for the construction industry that organizes information across 15 tables — from construction entities and spaces to products, phases, and properties. AI that understands OmniClass can classify BIM elements, organize project information, and enable interoperability between systems that use OmniClass as their taxonomy.
In BIM workflows, OmniClass classification is often required for model elements but rarely applied consistently. AI can automatically classify Revit families and elements against the appropriate OmniClass tables, ensuring that the model meets the classification requirements for COBie deliverables, owner requirements, and facility management system integration.
For project information management, OmniClass provides a standard way to organize documents, equipment, and spaces across the project lifecycle. AI applies OmniClass classifications to project documents, enabling cross-project search and analysis organized by a consistent taxonomy rather than each project's ad-hoc folder structure.
Examples
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
AI for OmniClass understands the comprehensive classification system for the built environment. AI can classify content across multiple OmniClass tables, support BIM classification, and enable standardized data exchange. This improves data interoperability.
Classifying BIM elements. Supporting data exchange. Organizing project information.
Project Research: Instantly access all project-critical information from a single search interface.


