Does NYCD-Design provide private, dedicated CAD data beyond public datasets?

Yes. 

Public CAD training data available today (e.g. ABC, DeepCAD) is sizeable but largely homogeneous. much of it is procedurally generated or simplified academic-style geometry parts, lacking the geometric complexity, functional semantics, and manufacturing constraints found in real industrial products. This kind of data gets a model running, but rarely teaches it to reason like a designer working under real production constraints.

That's the gap NYCD-Design fills. Our data comes entirely from paid, dedicated modeling projects and internal trial work. Never repurposed, scraped, or cleaned from existing public datasets, but built from original modeling experience on real consumer electronics and structurally complex products. You can specify target product categories, geometric complexity, precision requirements, and annotation depth, and we deliver exclusive, custom-built private datasets — never shared with other clients, never released publicly, never resold.

For teams/enterprise looking to push their models past the public-benchmark ceiling and toward genuine manufacturing-grade fidelity, this kind of bespoke private dataset is often the variable that determines the model's real-world ceiling.