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.
The same failure mode runs deeper than most teams realize. It is not limited to the ECAD-MCAD boundary. It runs through simulation too. SPICE non-convergence is what happens when geometric intent does not propagate correctly into the solver. Different domain, identical infrastructure failure.
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 intent 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 intent 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, Microsoft, HP, and Siemens building tools used by millions of designers, engineers, and consumers worldwide.
Neurocad™ is the intent layer connecting AI intent to physics-compliant, DRC-valid CAD output across Altium, SolidWorks, and adjacent engineering environments.
Why are engineering workflows at a breaking point right now?
The global semiconductor market is projected to reach $1 trillion by 2030. Every product vertical driving that growth : AI hardware, automotive electronics, industrial IoT, defense systems, and consumer devices. runs on PCBs. The workflows those PCBs depend on were not designed for the volume and complexity the next decade is about to deliver. More complex SoCs, more power management devices, more mixed-signal designs, more RF and high-speed interfaces per board, more components per BOM, more vendors per program. All of it crosses the same tool boundaries. All of it lands on the same engineering teams. The infrastructure those teams are running has not kept pace.
What is the engineering talent shortage and why does it matter for hardware development?
The SIA projects a shortage of 67,000 semiconductor engineers and technicians in the United States by 2030. The engineers who understand the full stack (component constraints, PCB integration, signal integrity, mechanical fit) are among the scarcest technical professionals in the market. Design complexity is compounding across the entire chip landscape. Engineering talent is not. The teams that figure out how to do more with the engineers they have will ship the products the market demands. The ones that do not will spend the decade explaining why they are behind.
What is chiplet-based packaging and why is it straining engineering workflows?
Chiplet-based packaging integrates multiple dies from multiple vendors on advanced substrates, each with its own signal integrity budget, thermal stack, and mechanical model. TSMC's advanced packaging revenue grew more than 150% between 2020 and 2024. Each chiplet package a team needs in a design requires documentation-to-library work: extracting package geometry, building schematic symbols, generating PCB footprints, and producing placement-ready 3D mechanical models. That work has always been done manually. At chiplet complexity and volume, the manual approach does not scale. The library backlog that accumulates between component selection and design execution becomes a program schedule problem. For what zero re-entry looks like at the library boundary specifically, see the Zero Re-Entry FAQ.
What does the Renesas acquisition of Altium mean for engineering teams?
It signals that semiconductor OEMs view PCB design infrastructure as strategically critical, not just commercially interesting. Commercial PCB EDA represents roughly $1 billion in annual TAM. Global semiconductor revenue is heading toward $1 trillion. Renesas recognized that arithmetic and moved to control the tooling layer. The implication for engineering teams: organizations that depend on a single vendor's ecosystem for their design infrastructure are exposed to that vendor's commercial interests. Tool-agnostic infrastructure (workflows that are neutral, portable, and not dependent on any single platform) is the hedge. Engineering teams that build it now compound the advantage over time.
What is the reconciliation tax?
The reconciliation tax is the hours, days, and rework cycles that accumulate every time design intent has to be manually reconstructed across a tool boundary. It shows up as review cycles that run longer than they should, library backlogs, ECAD-MCAD conflicts that surface weeks into a review, component changes that trigger cascading rework, and senior engineers pulled off forward design to resolve issues that should never have reached them. Engineering teams call it different things: a process problem, a people problem, a complexity problem. It is an infrastructure problem. Every organization in hardware development pays it. Most have accepted it as unavoidable. It is not.
What is intent loss and why does it compound across engineering workflows?
Intent loss occurs every time design reasoning (the constraints, relationships, and decisions that made a design valid) has to be manually reconstructed because it did not propagate across a tool boundary. It is the parametric model that arrives as a dead STEP file and has to be rebuilt from scratch. It is the SI review that originates a rework cycle instead of confirming a correct design. It is the simulation that fails because geometric reasoning behind the circuit never made it into the solver. Each boundary crossing in the engineering stack introduces intent loss. At the scale and complexity of modern hardware programs, that loss compounds. The senior engineers reconstructing it are the same ones who should be doing forward design.
What is the difference between propagation and translation in engineering workflows?
Propagation means design intent moves intact across tool boundaries, preserving the constraints, relationships, and decisions that made the original design valid. Translation means geometry crosses the boundary but intent does not. A STEP file is translation: it carries shape, not the parametric reasoning behind it. The receiving tool gets geometry it cannot interrogate. The engineer rebuilds the constraints manually. For thirty years, the industry chose translation and called it good enough. Propagation is what zero re-entry infrastructure delivers. It is also what makes engineering organizations structurally faster over time: each design cycle compounds the advantage instead of resetting it.
What is zero re-entry and what does it look like in an engineering workflow?
Across the full engineering workflow, zero re-entry means design intent, captured once from source documentation, propagates directly into every downstream tool without manual reconstruction at any boundary. In practice: a chiplet package not in the library generates a DRC-compliant schematic symbol, PCB footprint, and placement-ready 3D mechanical model directly in the active design environment. A component change propagates automatically through both ECAD and MCAD environments. A simulation result produces a manufacturable circuit asset without a manual recapture step. Signal integrity constraints are enforced as placement and routing decisions are made, so the SI review confirms a correct design instead of originating a rework cycle. No intermediate format. No manual reconstruction. Intent captured once, propagated everywhere.
What is native synthesis and how does it differ from file conversion?
Native synthesis extracts design intent from real-world engineering artifacts, resolves ambiguous or incomplete dimensions before geometry is generated, and produces parametric, DRC-valid assets directly inside the target tool. File conversion moves geometry between formats. The output carries shape but not the constraints or parametric relationships that make the model usable downstream. Native synthesis preserves intent through the generation process. The assets it produces participate in validation, layout, and simulation from first use. In the context of the decade ahead, the distinction matters because file conversion scales the problem. Native synthesis eliminates it.
What is the intent layer for engineering and why does it matter now?
The intent layer for engineering is the infrastructure between what engineering documentation says and what CAD tools need. Every tool in the stack was built assuming structured, design-ready data would arrive at its front door. None of them were built to structure it. That work has always fallen to engineers manually, at every tool boundary, on every program. The intent layer performs that work automatically: extracting design intent from unstructured documentation, preserving it through parametric generation, and delivering native assets into the tools engineers already use. It matters now because design complexity is compounding faster than teams can absorb manually. The organizations that deploy intent infrastructure in this decade will build a structural advantage that compounds with every design cycle. The ones that do not will spend the decade closing the gap.
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, Microsoft, HP, and Siemens building tools used by millions of designers, engineers, and consumers worldwide.