AI for DWG Files

DWG is AutoCAD's native file format, and millions of construction drawings exist in this format — both current production drawings and archived projects stretching back decades. AI that works directly with DWG files has access to information that is lost when drawings are converted to PDF: layer organization, block definitions, attribute data, and geometric precision.

Layer information is particularly valuable. In a well-organized DWG file, elements are separated onto layers by type — walls on one layer, dimensions on another, electrical on another. AI uses this layer organization to understand what it is looking at: the elements on the A-WALL layer are walls, the elements on the E-POWR layer are power outlets. This structured data makes analysis more accurate than trying to recognize elements visually in a PDF.

For firms with large DWG archives from past projects, AI can index the entire library — making every detail, every standard, and every project searchable. A designer looking for a stair detail does not need to open and browse dozens of DWG files; they search semantically and get results with the specific sheets and blocks that match their query. This unlocks the value in archives that were previously inaccessible without manual browsing.