Open-source semiconductor process simulation

Virtual fabrication, device modeling, and packaging analysis in one browser-native platform.

FabForge combines 3D process simulation, device TCAD, advanced packaging workflows, sign-off analytics, and API-first deployment into a single system built for fabless teams, foundries, OSATs, and research groups.

3D process + device + packaging One environment for wafer, TCAD, and reliability workflows.
REST, gRPC, WebSocket Integrate FabForge into design, automation, and SaaS flows.
GPU-ready compute tiers Accelerate heavy physics workloads without locking into desktop tooling.
Featured simulation 3nm FinFET process evolution
Shipped scope 126 modules

Full process, packaging, API, and simulation stack.

Recipe depth 50+ YAML flows

Examples spanning interconnect, advanced nodes, packaging, and MEMS.

Built for

Fabless chip teams Foundries and IDMs Advanced packaging engineers University and national labs

Platform surface

What FabForge puts in one workflow

FabForge is designed as a platform rather than a point tool, so process simulation, packaging analysis, and deployment automation share the same data model and runtime.

3D process simulation

Deposition, etch, CMP, lithography, oxidation, diffusion, and implant flows in a recipe-driven environment.

Device TCAD

Electrical I-V and C-V workflows connect process results to device behavior through DEVSIM-backed solving.

Advanced packaging

Model warpage, fatigue, underfill, and interconnect structures across HDI, flip-chip, and chiplet-oriented stacks.

GPU-accelerated analysis

Scale demanding workflows with CuPy, cuDSS, AmgX, and multi-tier FEA strategies instead of CPU-only bottlenecks.

API-first deployment

Expose simulation services through REST, gRPC, and WebSocket interfaces for cloud, on-prem, and hybrid flows.

Browser-native collaboration

Bring simulation into a modern web UI instead of isolated workstation installs and opaque desktop-only environments.

Customer value

Why engineering and commercial teams care

FabForge compresses fragmented simulation workflows into a single system that is easier to deploy, easier to extend, and easier to expose to the rest of the engineering organization.

Lower access barrier

Give advanced process modeling to teams that cannot justify six-figure annual commercial seat costs.

Faster iteration loops

Evaluate geometry, process recipes, packaging structures, and device response without bouncing between disconnected tools.

Deployment flexibility

Run FabForge in the browser, in Docker, behind internal APIs, or in a multi-tenant SaaS environment.

Open extensibility

Keep source visibility, integrate custom physics, and build internal workflows without black-box vendor lock-in.

Visual proof

Real FabForge simulation outputs

These media blocks are drawn from actual FabForge process runs, showing how recipes progress from substrate to complex structures.

3nm process clip

TSMC N3-class GAA nanosheet

Shows stacked nanosheet formation, inner-spacer evolution, channel release, and wrap-around gate fill.

18A process clip

Intel 18A RibbonFET + PowerVia

Highlights nanoribbon evolution, advanced gate fill, and backside power delivery modules in a short process clip.

Packaging clip

Fine-pitch flip-chip packaging

Highlights FabForge coverage beyond wafer processing into advanced packaging structures.

FabForge GaN HEMT simulation screenshot
GaN HEMT simulation snapshot
FabForge MEMS pressure sensor simulation screenshot
MEMS pressure sensor process state
FabForge interconnect simulation screenshot
Interconnect geometry end-state
FabForge packaging simulation screenshot
Packaging structure end-state

Economic impact

A different cost model for advanced process simulation

Commercial process simulation software often lands in the $50,000 to $200,000 per-seat annual range. FabForge changes the economics with an open-source core, browser delivery, and cloud or on-prem deployment options.

$50K-$200K

Typical commercial seat range

Benchmark cost level for established process simulation platforms in the market.

$8M-$10.5M

Corporate-equivalent rebuild cost

Estimated cost for a conventional team to reproduce a comparable multi-surface platform.

18-24 months

Typical enterprise delivery window

Reference timeline FabForge compresses through an integrated architecture and AI-assisted development.

Legacy model

  • Per-seat licensing and workstation installs
  • Limited APIs and slower internal integration
  • Separate tools for process, packaging, and downstream analytics

FabForge model

  • Browser-native access with open-source core
  • REST, gRPC, and WebSocket service interfaces
  • Unified simulation stack for wafer, device, and packaging workflows

Who it serves

Built for engineering organizations that need control

Fabless teams

Bring process-aware design review closer to the product team without requiring full fab-resident tool stacks.

Foundries and IDMs

Deploy an internal platform you can extend, secure, and integrate with proprietary data pipelines.

Packaging groups

Simulate HDI, flip-chip, and reliability-oriented structures in the same platform as process flows.

Research labs

Open advanced semiconductor simulation to teams priced out of traditional licensing models.

Team

Built by operators, engineers, and domain specialists

FabForge brings together semiconductor equipment leadership, applied mathematics, software development, and industry operating experience.

Product Chief

Kevin

Account Manager for Intel, GM and USA Country Manager for a leading semi equipment component company, achieved revenue increasing 5x in 4 yrs; Engineer at Lam Research. Patent Inventor; MSME at Univ of Cincinnati; ML and Data Science Certificates, Harvard Univ Online.

Developer

Alex

Applied Math & CS degree, UC Berkeley.

Team Member

To Be Announced

Additional FabForge team information will be announced as the organization expands.

Advisor

David

Former VP of Etch Product and GM of Asia Pacific at Applied Materials Inc, former CEO of SMIC, Founding Chairman of YMTC.