Solving the Sub-2nm
Optical Physics Bottleneck
Physics-informed Fourier Neural Operators for Extreme Ultraviolet (EUV) computational lithography. Reducing full-chip optical proximity correction from 28 days to under 5 hours.
Moore's Law is Hitting an Optical Wall
As silicon transistors scale below 2 nanometers, optical proximity correction (OPC) and inverse lithography technology (ILT) have become the single largest computational bottleneck in semiconductor manufacturing.
Maxwell-FNO: Continuous Spectral Operators
Instead of grinding through trillions of discrete finite-difference grid steps on CPUs, LithoCore AI replaces numerical solvers with continuous Fourier Neural Operators trained on fundamental 3D Maxwell electromagnetic wave physics.
Infinite Spatial Resolution
Fourier Neural Operators evaluate continuous function spaces. A single model trained on standard cleanroom patterns generalizes zero-shot across arbitrary wafer coordinates and sub-angstrom grid pitches.
140x Hardware Acceleration
Full-chip inverse lithography calculations that took 4 weeks on 4,000 CPU server blades now execute in 4.8 hours across a compact 32-node tensor acceleration cluster.
$18.4B High-Margin EDA Market
Every leading fabless semiconductor firm and advanced packaging manufacturer is compelled to migrate to inverse lithography software as EUV wavelength scaling reaches High-NA and Hyper-NA regimes.
CurviMask™ & StochastoNet Architecture
End-to-end differentiable inverse lithography pipeline replacing legacy Manhattan step-and-repeat polygons with continuous organic level-set topologies.
Silicon Verification on 2nm GAAFET Nodes
Verified across leading semiconductor test vehicles containing 4.2 billion transistors with dense nanosheets and curvilinear via interconnects.
High-Margin Enterprise SaaS & Foundry Licensing
Recurring enterprise software model structured to capture immense value created by saving weeks of cleanroom scanner and engineer downtime.
Pay-per-tapeout compute model for mid-sized fabless chip designers accelerating mask signoff on private cloud VPCs.
Annual node license per cleanroom facility with unlimited mask layer runs and dedicated air-gapped on-premise clusters.
Value-share contract pegged to wafer yield improvements over baseline legacy OPC recipes (+2-4% yield upside).
Commercial Traction & Foundry Engagements
Targeted land-and-expand strategy targeting top-tier fabless chip design houses, pure-play foundries, and cleanroom consortia.
Structural Algorithmic Moat
Legacy EDA giants are shackled to 25-year-old x86 CPU codebases that cannot be rewritten for modern tensor architectures without breaking backwards compatibility.
- • CPU-bound finite difference algorithms
- • Manhattan polygon approximations
- • Weeks per full-chip tapeout
- • Massive electricity and server overhead
- • CNN / UNet image approximations
- • Hallucinates non-physical artifacts
- • Violates Maxwell wave equations
- • Unusable in cleanroom tapeout
- • Continuous spectral Fourier operators
- • Strict physics-informed Maxwell adherence
- • 140x hardware acceleration on tensor units
- • Curvilinear native for multi-beam masks
Founding Team & Pedigree
World-class leadership combining deep semiconductor physics with frontier neural operator research.
Julian Vance
Former Principal Computational Lithography Architect at top foundry. 14+ years scaling inverse physics and full-chip tapeout workflows. Stanford Nanofabrication alumnus.
Dr. Maya Lin
PhD MIT Applied Physics. Leading researcher in spectral neural operators for electromagnetic boundary value problems and non-linear partial differential equations.
Accelerated Compute Infrastructure Roadmap
Computational lithography represents one of the largest concentrations of compute intensity on Earth. Accelerator compute credits are directly utilized to train our 3D Maxwell wave equation operators.
Training continuous Fourier neural operators on 250,000 synthetic 3D mask electromagnetic wave scattering profiles using distributed FP8 tensor clusters.
Scaling models to support High-NA EUV scanners with 4x/8x anamorphic magnification and 3D thick absorber shadowing phenomena.
Deploying low-latency edge inference engines inside cleanroom scanner enclosures for closed-loop real-time dose adjustments.
Partner with LithoCore AI
We are closing our $3.5M Seed round and partnering with elite high-performance computing accelerators to scale our distributed training cluster and finalize 3 commercial foundry pilots.
Executive Contact & Pilot Access
Direct inquiries, data room access, and confidential technical demonstrations: