We’re taking a different path, building a parsing engine that converts CAD (DWG/DXF) into fully structured JSON with preserved semantics (no ML in the critical path).We also have a separate GIS parser that extracts vector data (features, layers, geometries) independently, Like to know how you handle consistency and reproducibility across runs using models and how you make it affordable, especially at scale. because a…
Dumbcad line barf will not help you with that at all. There already is a format that is plain text and preserves the semantics: IFC. That's what it was made for.
We’re not just dumping primitives, we extract full CAD context including entities, layers, blocks, colors, and topology. That metadata allow reconstruct structure deterministically. IFC is great when available, but in most real-world pipelines DWG is still the source of truth, often degraded. Our focus is making that usable without relying on probabilistic vision layers. People depend on PDF for cad files due to its portability and to avoid software dependency/licensing, we aim solving that, any machine or pipeline that needs CAD or GIS data for analytics, search, or reasoning can operate on our structured output without requiring a native CAD or ESRI license.