Your engineers reconstruct datasheets from the components you buy. Your customers reconstruct datasheets from the components you sell. It's the same manual work, happening on both sides of your business, and Neurocad closes the gap either way.
A single component takes 30 to 90 minutes to turn into a usable symbol, footprint, and 3D model. A complex NPI program carries 30 to 50 of them. That is not one engineer's bad week, it is a predictable, recurring cost that shows up at the start of every program, on every board revision, whether or not anyone has put a number on it.
Engineers lose 30 to 60 percent of a design cycle to exactly this kind of reconstruction, before real design work begins. A wrong pin assignment or a misread tolerance that gets missed in review does not stay small, it is the kind of error that turns into a $50,000 board respin.
A datasheet from a supplier goes in. Neurocad extracts the relevant dimensions, pin data, and geometry, then surfaces that extraction for review, an engineer confirms it before anything is generated, not after. Geometry is resolved against IPC-7351 package specifications; pin data comes directly from the datasheet itself. Once confirmed, a native, parametric asset generates directly inside Altium, KiCad, SolidWorks, or whatever your team already runs. The same confirmed intent produces the same result every time, regardless of who ran it.
That consistency is the part that matters at your level. One engineer's judgment call about an ambiguous tolerance becomes every engineer's library entry today. Neurocad surfaces that ambiguity for review instead of leaving it to individual judgment, then applies the confirmed intent consistently, so the library stops accumulating small inconsistencies that turn into symbol and footprint mismatches on project load.
The more experienced an evaluator is, the faster the conversation moves past “can it create a footprint” to “how does this fit into our existing library.” Naming conventions, layer conventions, 3D alignment, and governance are what make a library usable at scale, and they are exactly what breaks down when every engineer resolves ambiguity slightly differently. Neurocad standardizes the resolution step itself, before it ever reaches your library.
Your customer visits your catalog, finds the part that fits, and downloads the datasheet. What happens between that moment and a completed design-in depends entirely on what you give them next. When an engineer is comparing your part against a competitor's, and both do the job, the tiebreaker is often which datasheet is easier to actually use, which one gets them to a working CAD asset faster. A hard-to-parse datasheet can cost you the design-in entirely, to a part that was never actually better, just easier to get into CAD.
Can you give your customer everything they need to get designed in on day one? Is every asset available in any CAD tool they might be using, as a real 2D and 3D model, or do they get a PDF and have to build the rest themselves?
A datasheet goes in, wherever it lives, your own site, a distributor listing, an older revision still floating around. The same extraction, review, and native-generation process applies. The same confirmed intent produces the same result every time, no matter which channel your customer found the part through.
Parts go obsolete. Revisions ship. The same component can end up with slightly different assets floating around your own site, your distributors, and third-party library tools. Neurocad standardizes the resolution step itself, so every channel your part appears in produces the same asset, not five slightly different versions of the same part.
Turning a prospect into a customer often depends on an FAE walking them through integration by hand, one relationship at a time. That works, but it doesn't scale. Neurocad gives every prospect the same day-one experience a specialist would otherwise have to provide manually, so your team's specialized time goes toward the relationships that actually need it.
This doesn't touch your IP, or theirs
On either side of this, what travels across the network is the extracted intent, a description of what needs to be built, not the design itself, and not your published specification sitting somewhere new. The finished asset lands only on the engineer's own machine.
This is Neurocad™
Neurocad™ is the engineering intent compiler that turns static design artifacts into native, parametric, design-ready assets across ECAD, MCAD, and simulation environments without format conversion or manual reconstruction. Whether you're the one buying the component or the one selling it, the same reconstruction work disappears, once, consistently, instead of once per person per part.
Altium, KiCad, OrCAD, Cadence Allegro, SolidWorks, Fusion 360, and Inventor.
Engineering team: Start your free trial — free 14-day trial, card required to activate, you won't be charged until the trial ends
Sales/design-in team: Request a demo — see what this looks like on one of your own parts