The Neurocad Team
Neurocad is built by engineers who spent their careers inside the workflows this platform is designed to fix. Previously at Accel EDA, Altium, Autodesk, Meta, Microsoft, HP, and Siemens — building tools used by millions of designers, engineers, and consumers worldwide.
Nobody in this industry is talking about what the next ten years actually require of engineering teams. They're talking about silicon. AI accelerators. Advanced packaging. Record semiconductor demand across automotive, defense, consumer electronics, industrial automation, and medtech simultaneously.
What they're not talking about is what that growth lands on.
It lands on your team:
The people sitting in Altium and SolidWorks right now, doing work that the industry's ambitions have dramatically outpaced.
It lands on a PCB.
We know those people. We spent careers building the tools they use every day. And we owe them an honest conversation about what's coming — and what just became possible.
The global semiconductor market is projected to reach $1 trillion by 2030, driven by demand across every major product vertical. Every one of those verticals runs on PCBs. Every PCB program runs through workflows that were not designed for the volume and complexity the next decade is about to deliver.
$1 trillion — global semiconductor market projected by 2030
The most acute expression of that complexity right now is chiplet-based packaging — multiple dies from multiple vendors, integrated on advanced substrates, each with its own signal integrity budget, thermal stack, and mechanical model.
+150% — TSMC advanced packaging revenue growth, 2020–2024
But chiplets are the headline, not the whole story. The broader chip landscape is expanding in every direction simultaneously:
All of it crosses the same boundary. All of it lands in the same place.
The Renesas acquisition of Altium was not a software company deciding to get into EDA. It was a semiconductor OEM deciding that the $1B PCB design tool market was too important to leave in someone else's hands.
Chips do not float. Without a PCB, there is no semiconductor.
Engineering teams will increasingly need design infrastructure that is neutral, portable, and not dependent on any single vendor's ecosystem. The OEM consolidation of PCB EDA is a threat to every team that doesn't have tool-agnostic infrastructure in place.
67,000 — projected U.S. semiconductor engineer shortage by 2030 (SIA)
The engineers who understand the full stack — component constraints, PCB integration, signal integrity, mechanical fit — are among the scarcest technical professionals alive. You are going to need more of them at exactly the moment the market has fewer of them to offer.
The teams that figure out how to do more with their engineers will ship the products the market demands. The ones that don't will spend the decade explaining why they're behind.
Every senior engineering manager and director we've spoken with describes the same thing, in different words:
Engineering teams call it different things. We call it the reconciliation tax. The hours, days, and rework cycles that accumulate every time design intent has to be manually reconstructed across a tool boundary.
It is an infrastructure problem.
Between every ECAD tool and every MCAD tool in every engineering organization on the planet, there is a boundary that has never had a native translation layer where engineering intent is propagated instead of manually translated.
Propagation preserves intent. Translation loses it. For thirty years, the industry chose translation and called it good enough.
Intent loss is not abstract. It is the senior engineer pulled off forward design to re-derive constraints already captured somewhere upstream. It is the SI review that originates a rework cycle instead of confirming a correct design. It is the parametric model that arrives as a dead STEP file and has to be rebuilt from scratch.
It was never unsolvable. It was just unsolved.
You have probably not heard of Neurocad. That is about to change.
Stripe didn't replace banks. It built the layer between software intent and financial execution. Neurocad does the same for physical engineering — extracting design intent from real-world engineering artifacts, resolving ambiguous dimensions before geometry is generated, and producing parametric, DRC-valid assets directly inside the tools engineers already use.
No intermediate format. No manual reconstruction. Design intent captured once, propagated everywhere.
Connected to your existing Altium and SolidWorks environments via API — no migration, no new tools, no retraining.
When your team needs a chiplet package that isn't in the library, Neurocad reads the structured vendor data and generates a DRC-compliant schematic symbol, PCB footprint, and placement-ready 3D mechanical model directly in the active design environment.
Die-to-die interconnect rules, impedance requirements, and coupling limits are enforced as placement and routing decisions are made. Your SI review confirms a correct design instead of originating a rework cycle.
Mechanical constraints from SolidWorks — enclosure clearances, height limits, connector orientations — are active during PCB layout. When an electrical decision creates a mechanical conflict, it is caught at the moment it is made. Not at the review. Not in manufacturing. At the moment.
When a component changes, the downstream implications propagate automatically through both environments. The substitution loop that currently runs for days runs in hours.
Engineers stay in their workflow. No manual rework required. Neurocad bridges the gap between tools so your engineers don't have to. This is what zero data re-entry looks like in practice.
The engineering organizations that deploy execution infrastructure now are going to build a structural advantage that compounds over time — fundamentally changing the economics of hardware development.
The market is growing. The complexity is compounding. The talent is scarce. But the teams that propagate intent across domains instead of reconstructing it will outpace the ones that don't.
Propagation versus translation. Zero data re-entry versus the reconciliation tax. This is the choice the next decade will force.
The teams that choose correctly will not just ship faster — they will compound the advantage with every design cycle.
This is the execution layer. This is Neurocad.
Neurocad™ is open to a small cohort for early access. Engineers working in multi-tool environments can apply at neurocad.com.
Neurocad™ is built by engineers who spent their careers inside the workflows this platform is designed to fix — previously at Accel EDA, Altium, Autodesk, Meta, HP, Siemens, and Xbox Studios, building tools used by millions of designers, engineers, and consumers worldwide.
Neurocad™ is the execution layer connecting AI intent to physics-compliant, DRC-valid CAD output across Altium, SolidWorks, and adjacent engineering environments.