Imagine a super-detailed digital twin of an old timber building that can almost build itself: you feed it survey data and drawings, and an AI-driven system assembles a smart 3D model that knows what each beam and joint is, how it fits together, and how the building has changed over time.
Conventional modeling of historic timber buildings is slow, manual, and error-prone. Heritage architects and conservators must reconstruct complex joinery, deformations, and historical phases from fragmented drawings, scans, and photos. This approach uses intelligent HBIM workflows to semi-automate creation of accurate, information-rich models of traditional timber structures, improving documentation, analysis, and conservation planning.
Domain-specific HBIM object libraries and ontologies for traditional timber, plus annotated datasets and workflows tuned to heritage architecture that are hard to replicate quickly.
Hybrid
Vector Search
High (Custom Models/Infra)
Processing and storing high-resolution 3D survey data (laser scans/photogrammetry) and complex HBIM object libraries can be compute- and storage-intensive; integrating AI outputs reliably into BIM tools also adds workflow complexity.
Early Adopters
Focus on intelligent HBIM workflows specifically for traditional timber heritage—capturing joint typologies, deformations, and historical construction logic—rather than generic BIM automation for modern structures.