Exascale World Models for
Generalist Embodied Robotics
While language foundation models unlocked conversational intelligence, robotics is paralyzed by the physical simulation bottleneck. Nyxium Dynamics constructs NX-1: continuous 72-billion parameter neural world models predicting contact, friction, and fluid-rigid dynamics at 1,000 Hz.
The Sim-to-Real Chasm in Physical AI
Humanoids and industrial manipulators fail in unstructured environments because classical physics solvers were designed for 1990s CAD animations, not real-time embodied decision making.
Discontinuous Collisions
Fast-moving robot end-effectors clip through thin geometry because classical solvers compute discrete time steps instead of continuous manifolds.
5ms to 15ms Bottleneck
Standard analytical solvers cannot sustain the 1,000 Hz tactile feedback required for delicate manipulation, dropping fragile cups or slippage.
Zero Generalization
Every new object requires manual URDF XML definitions, friction coefficients, and bounding box tuning. It does not scale to open-world autonomy.
NX-1: Generative Continuous Physics Engine
Instead of solving brittle differential equations at runtime, Nyxium pretrains an equivariant spatial transformer on billions of physical interactions. The model outputs continuous 6-DoF trajectories directly from raw point clouds and force sensors.
Zero-Shot Contact Inference
Implicit Signed Distance Field representations allow robots to interact with novel deformable fabrics, liquids, and articulated mechanisms without prior 3D scans.
Sub-Millisecond 1,000 Hz Loop
Custom FP8 fused attention kernels execute forward rollouts in 640 microseconds on accelerated parallel matrix hardware.
Capturing the $148B Physical AI Layer
Every humanoid robot, autonomous mobile manipulator, and industrial micro-factory requires a foundational spatial physics engine.
Generalist robotics, humanoid OEM OS, aerospace autonomy, and industrial logistics by 2032.
Embodied AI foundation model inference and simulation software licenses across 260+ robotics OEMs.
High-end warehouse manipulation, precision manufacturing, and defense quadrupeds over next 36 months.
Patented Mathematical Formulations
Our defensive moat is established through three foundational patent filings and proprietary multi-sensor training datasets.
Empirical Superiority Over Classical Physics
Standardized physical manipulation benchmarks executed across 10,000 real-world trials demonstrate unmatched speed and fidelity.
Enterprise Pipeline & OEM Traction
Strong initial inbound demand from humanoid robotics manufacturers, defense autonomy contractors, and industrial logistics integrators.
Signed evaluation agreements from humanoid and robotic arm manufacturers across North America and Europe.
Active real-world factory pilots testing bimanual sorting of fragile components with zero human teleoperation.
Projected annual recurring revenue upon conclusion of paid SDK integration phases.
Dual-Stream High-Margin SaaS & Royalty Engine
Combining developer SaaS seat subscriptions for physical simulation with per-robot monthly inference royalties for deployed fleets.
1. Platform & SDK Subscriptions
- • Developer Cloud Suite: $1,650 / seat / month (Cloud simulation & dataset generation).
- • Enterprise Private Cluster: $48,000 / month (Dedicated on-premise hardware compilation).
- • Gross margins: 86%
2. Deployed Robot Fleet Royalties
- • Per-Humanoid Runtime: $295 / active robot / month.
- • Guaranteed 99.999% uptime with hardware watchdog fallback.
- • Expanding net revenue retention: 145%+
Compute Infrastructure & Scaling Requirements
Physical foundation models are highly compute-dense. Accelerator grant credits are allocated directly to high-throughput matrix clusters to pretrain our 190B parameter multimodal model.
Trained across 96-accelerator nodes using FP8 tensor parallelism. Validated 1,000 Hz loop on bimanual manipulators.
Requires 384-node accelerated matrix cluster. Ingests 60,000 hours of multi-spectral tactile and 4D LiDAR tokens.
Compiling quantized 4-bit edge weights for embedded robot compute modules with sub-15W power envelope.
Seeking Compute Grants & $5.0M Seed Round
Led by proven AI researchers and robotics founders with deep domain pedigree.
12+ Years DeepTech Systems Leadership • 16 Research Publications • 3 Spatial AI Foundation Patents