Text2ifc: Linking Natural Language to Digital Twins
At its core, Text2ifc uses custom-trained deep neural language models
to understand natural languge utterences and find the correspondences within
IFC models.
Tetx2ifc brings a transformational change to the way architects, engineers, contractors, and facility owners/managers interact with their digital models.
Tetx2ifc brings a transformational change to the way architects, engineers, contractors, and facility owners/managers interact with their digital models.
Use cases
Query your Models with
Natural Language
Natural Language
Example queries
- Show me office spaces
- Select 2 doors and a window in 5th floor
- How many boilers exist in this building?
- Highlight all walls, doors, as well as windows contained in room A-05
