DFM checks,
on every revision.

Design for manufacturing AI means reading a CAD model against an explicit set of process rules and reporting each place the design breaks one, so manufacturability problems are found at the design review rather than at the tooling quote.

Every studio and every supplier has rules: minimum wall thickness for a given resin, draft per side for a textured finish, bend radius against sheet gauge, the smallest internal corner a cutter can reach. Some are in a supplier’s design guide, some in an old checklist, and many only in the memory of the engineer who has had a tool reworked before. Writing them down as a versioned rule set is most of the work, and it is useful even before any software reads it.

The geometric checks themselves are mostly conventional computation on the B-rep: thickness maps, draft analysis, feature recognition. The model’s job is narrower and more useful than it sounds. It reads the supplier guides and your past review notes into rules, recognises which features a rule applies to, and writes each finding in plain language a designer can act on.

We test against your own history: past revisions where a toolmaker or a first-article inspection found a problem. The system has to find those problems from the model alone. Missed findings are the measure that matters, because an extra flag costs a designer a minute while a missed one costs a tool modification.

It reads neutral STEP files from SolidWorks, Fusion, Creo, Onshape or NX, and native feature data through their APIs where a rule needs it. Results land in the review you already run, alongside the model in your PLM, and the same check feeds should-cost estimation, since a side action or an extra set-up is a cost as well as a risk.