Neurocad is the missing infrastructure layer for physical engineering.
Neurocad is AI-enabled infrastructure that transforms datasheets, drawings, and design documents into native, parametric CAD artifacts across Altium, SolidWorks, KiCad, and adjacent tools. Engineers describe what they're building; Neurocad materializes it as DRC-valid output ready to push directly into their existing tools. Zero re-entry.
Engineering teams spend hours manually reconstructing design intent every time it crosses a tool boundary. At program scale, that adds up — schedule slippage, library backlogs, and the best engineers on the team pulled off forward design to fix problems that should have been caught three stages earlier. Most organizations have accepted this as the cost of doing hardware. It is not. It is an infrastructure problem that has never been solved.
Neurocad sits at every tool boundary in the engineering stack and propagates design intent across it. What used to require manual reconstruction — symbols rebuilt from datasheets, geometry re-entered after a handoff, constraints rebuilt from scratch after a STEP file landed dead in SolidWorks — Neurocad handles as a single continuous process. The same intent that entered the system comes out the other side as a native, parametric artifact in the tool that needs it.