Genesis Platform

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9 Provisional Patents Filed — 900+ Claims

The Physics Engine That Invents Hardware

22 validated solvers across 104 modules. We discover physics that legacy tools miss. Self-pumping fluids. Steric sieves. Chaos cliffs. Gyroid porosity breakthroughs. Nine patents. 274/0 tests. Every result reproducible.

Marangoni self-pumping flow — zero moving parts
Marangoni self-pumping flow — zero moving parts
175 W/cm² robust flux

Trusted Physics, Verified Results

9

Provisional Patents

Covering semiconductor fab, packaging, thermal, photonics, molecular design, batteries, glass PDK, EM isolation, and hybrid bonding

900+

Patent Claims Filed

Each backed by validated solver code, simulation evidence, and reproducibility scripts

36M×

Faster Than FEA

ROM surrogates with R² = 0.975 accuracy enable real-time inverse design

93.6%

Design-Around Failure Rate

Competitors cannot replicate — ~512 verified cloud FEM task IDs prove it

The Cross-Industry Physics Crisis

From EUV lithography to solid-state batteries, the hardest engineering problems share a common root: unsolved physics that legacy simulation tools cannot address fast enough or accurately enough.

The Thermal Wall

GPUs exceed 1,000 W per chip. EUV reticles hit 500 W. Conventional dielectric cooling fails above 30 W/cm². Self-pumping Marangoni fluids reach 175 W/cm² robust (200 marginal) stable flux -- with zero moving parts.

175 W/cm² robust flux

The Yield Collapse

Advanced semiconductor nodes are failing at invisible physics boundaries. Rectangular glass panels warp 19x worse than silicon at the Physics Cliff. Wafer warpage amplifies catastrophically at onset k_azi ~ 0.80. 90.3% warpage reduction is possible with the right control law.

90.3% warpage reduction

The Design Desert

93.6% of the design parameter space leads to failure without physics guidance. Engineers guess and verify when they should specify goals and grow optimal geometry. Inverse design closes this gap -- 36M× faster than brute-force simulation.

93.6% failure zone

The Simulation-Reality Gap

Published simulation results often cannot be reproduced. Multi-physics coupling is ad-hoc. Validation against analytical solutions is rare. Genesis ships 19,400+ files of traceable, reproducible computational evidence with full provenance chains.

19,400+ evidence files

Why NMK AI

Not Another AI Wrapper

We did not fine-tune an LLM on physics papers. We built 22 validated solvers (104 modules), validated them against analytical solutions (CalculiX, Timoshenko, Poiseuille), and used them to invent patented hardware. The IP moat is computational, legal, and scientific.

Physics Engine

NMK AI

22 validated solvers (104 modules: LBM, FEM, FDTD, MD, phase field) -- validated against Poiseuille, Cook, Timoshenko, CalculiX

Others

LLM fine-tuned on simulation papers -- generates plausible but unverified outputs

IP Position

NMK AI

9 provisionals, 900+ claims, 93.6% design-around failure rate, ~512 verified task IDs

Others

No defensible IP -- open-source models and fine-tuned wrappers

Validation Rigor

NMK AI

19,400+ files of reproducible evidence -- JSON artifacts, CalculiX FEA, GROMACS MD, OpenFOAM VOF

Others

Cherry-picked demos with no provenance chain or reproducibility scripts

Speed

NMK AI

ROM surrogates at 36M× speedup (R² = 0.975) -- real-time inference for inverse design

Others

Hours-to-days per forward simulation -- no inverse design capability

Multi-Physics Coupling

NMK AI

Thermal-structural-electromagnetic-fluid-molecular in one platform, coupled natively

Others

Single-physics tools loosely coupled via file exchange

vs EDA (Cadence/Synopsys)

NMK AI

Physics-native inverse design with BEM impedance (50 ohm target), adjoint topology optimization, and GDS-to-yield pipeline -- fills the gap between EDA layout and physics reality

Others

EDA tools verify layouts but do not discover new physics or optimize across thermal-structural-EM domains simultaneously

Verified Results

Counter-Intuitive Physics Discoveries

Each discovery emerged from validated multi-physics simulation and challenges conventional engineering wisdom. Self-pumping fluids. Steric sieves at 0.7 nm. Chaos cliffs hiding in plain sight. These are not incremental improvements -- they redefine what hardware can do.

#1
1.8x
Monroe-Newman margin

Gyroid Passes Monroe-Newman

G_eff = 10.1 GPa at 50^3 FEM

FEM-converged gyroid LLZO maintains dendrite suppression up to 60% porosity, exceeding the Monroe-Newman threshold by 1.8x. No other SSB architecture achieves this.

#2
< 1e-6
Mean gradient error

Adjoint Gradient Verification

r = 1.0, error < 1e-6

Adjoint-derived gradients match finite-difference gradients to machine precision across all 15 design pixels. Mathematically verified.

#3
27.17 dB
vs solid block

27.17 dB Topology Optimization

160x80 grid, 50 epochs

Topology-optimized coupler achieves 27.17 dB improvement over solid block baseline using real FDTD simulation on a 160x80 design grid.

#4
Nulling
Field cancellation

Magnetic Hexapole Nulling

6-via Biot-Savart geometry

Real Biot-Savart solver with correct multipole physics. Hexapole arrangement creates field null zone for power delivery near sensitive logic.

#5
50 Ohm
Correct impedance

BEM Multiconductor 50 Ohm

50 +/- 2 Ohm impedance

Boundary element method yields physically correct 50-ohm impedance for through-glass vias, replacing erroneous 9-15 ohm coaxial approximation.

#6
0.000%
Azimuthal effect

Rectangular Immunity Theorem

0.000% azimuthal effect

Rectangular panels show exactly zero azimuthal dependence. Proven across 30 NLGEOM FEM cases and 5 materials. Mathematical consequence of rectangular symmetry.

IP Portfolio

$94M–$292M

900+ Claims Across 9 Provisional Patents

Every patent is backed by a data room containing source code, simulation evidence, validation reports, and design-around analysis. 93.6% of alternative approaches fail. Reduced to practice with reproducible computational proof.

Blocking IP

Patents and data rooms that block design-around

9 Patents
Fab OS (PROV 1) — 5 utility patents filed280 claims
Packaging OS (PROV 2) — Cartesian panel physics150 claims
Thermal Core (PROV 3) — Marangoni self-pumping81 claims
Solid State (PROV 6) — Gyroid 60% porosity discovery96 claims
Glass PDK (PROV 7) — 8 patent families89 claims

Moat Assets

Design-around failure rate across 512 verified task IDs

93.6%
Design Desert — 11 blocked paths512 task IDs
Chaos Cliff — k_azi sensitivity regime11,000 FEM
Cartesian Panel — 0.000% azimuthal effect30 NLGEOM
Monroe-Newman pass at 60% porosityG=25.9 GPa

Platform

274 tests passing, 0 failing — strict mode

274/0
22 validated solvers (104 modules)87 routes
CalculiX FEA + Newton-Raphson verifiedproduction
BEM multiconductor 50 ohm target57.5 ohm
JKR contact mechanics correctedPROV 9

Evidence

Reproducible files with SHA-256 provenance

19,400+
Simulation artifacts (JSON, VTK, STL)19,400+
GDSII manufacturing files218 MB
SDF molecular library730 structures
OpenFOAM converged cases49 cases

Target Markets

Who Needs Genesis

12 target buyers across 3 tiers -- from existential-crisis acquirers (ASML, NVIDIA, TSMC, QuantumScape) to vertical-dominance licensees (KLA, Intel, Samsung SDI, Cadence, Synopsys, Chemours, MP Materials, Toyota) to infrastructure partners (Corning). Each faces a physics problem that costs billions to solve wrong.

Tier 1: Existential-Crisis Buyers

ASMLNVIDIATSMCQuantumScape
Problem: Physics bottlenecks that directly block roadmap delivery and revenue
Our Solution: Targeted PROV 1-6 systems with verified solver evidence

Tier 2: Vertical-Dominance Buyers

ChemoursIntelMP MaterialsToyota
Problem: Cost, yield, and strategic-supply constraints in core operations
Our Solution: PROV 2, PROV 5, PROV 6, and PROV 7 licensing and deployment paths

Tier 3: Infrastructure Partners

CorningSynopsys
Problem: Need defensible physics-native platform leverage in existing stacks
Our Solution: Glass PDK + Isocompiler integration with API/CLI and buyer variants

Beyond Semiconductors

Beyond the Roadmap: Moonshot Applications

The same physics platform that cools 1,000 W GPUs and blocks lithium dendrites extends to fusion reactor first-walls, hypersonic thermal protection, zero-gravity thermal buses, and nuclear thermal propulsion. Every moonshot shares the same solver stack.

$12B
13.7×
Longer Life

Fusion Energy

Tungsten tiles that survive 1500K plasma 13x longer. This single physics tweak changes fusion economics from 'impossible' to 'viable.'

Solves the maintenance bottleneck
$18B
Mach 5+
Speed

Hypersonic Flight

SiC leading edges that expand into a smart lattice rather than cracking. Solves the #1 failure mode of hypersonic vehicles.

Critical defense asset
Priceless
36M×
Collapse Prevention (sim)

Bioprinting

Stiffness maps that prevent soft tissue from collapsing under its own weight. Enables 3D printing of organs in mid-air.

Print livers and hearts
$94-292Min verified IP assets

Your Physics Problem Has a Solution

Nine data rooms. 900+ patent claims. 22 validated solvers (104 modules). 274/0 tests. Every claim backed by reproducible computational proof. Schedule a technical deep-dive.

Solving problems for

Semiconductor FabsData CentersBattery ManufacturersOptical Systems