Case Study

BIM + GLTF Platform

A structured backend pipeline for converting BIM data into optimized 3D assets while preserving metadata for downstream visualization and AI systems.

Problem

IFC-based BIM data is information-rich but difficult to use directly in real-time environments. The challenge was to convert complex building data into a format suitable for visualization while preserving semantic meaning and object relationships.

Approach

Built a modular conversion and enrichment pipeline that separates geometry extraction, data mapping, and output generation. This allowed the system to remain maintainable while supporting future AI-driven use cases on top of the structured data.

Architecture

• IFC parsing using Xbim
• Geometry extraction and conversion into GLTF output
• GUID-based mapping between model elements and metadata
• JSON enrichment pipeline for preserving semantic BIM properties
• Integration-ready output for visualization and AI querying workflows

Impact

Enabled real-time BIM visualization with structured metadata access, making the system useful not only for rendering but also for intelligent querying, downstream automation, and AI-assisted workflows.