Nuvi-X: Generative 4D World Models for Autonomous Intelligence
Persistent, interactive 4D physical worlds synthesized at 120 FPS with sub-5ms latency and Newtonian physics fidelity.
The Sim-to-Real Bottleneck in Physical AI
- • Pure pixel generation without 3D geometric persistence.
- • Massive physical hallucinations: objects vanish or mutate.
- • Latency exceeds 10,000ms: impossible for interactive closed-loop robotics.
- • Hand-crafted meshes require months of 3D artist labor.
- • Severe Sim-to-Real domain gap: real sensors reject synthetic rasterization.
- • Cannot dynamically generate infinite edge-case scenarios on the fly.
Nuvi-X DiT-4D: Persistent 4D World Engine
A foundational diffusion transformer that synthesizes continuous spacetime volumes. Rather than independent frames, Nuvi-X models an interactive state-space where past, present, and future trajectories obey rigorous physics.
Hamiltonian Symplectic Latent Manifold
Real-Time Performance Breakthrough
Three High-Margin Product Offerings
Interactive simulation workspace with multi-camera trajectory editing and prompt-based scenario injection.
High-throughput gRPC streaming API generating synthetic sensor streams directly into autonomous training pipelines.
Sovereign, air-gapped deployment for aerospace, defense, and high-security robotics OEMs.
$140 Billion Market Opportunity
Enterprise Scalability & 78% Gross Margin
Three Unassailable Competitive Advantages
24M+ calibrated physical trajectories. Each client simulation continuously refines our foundation weights.
6 foundational patents filed covering Hamiltonian diffusion losses and sub-millisecond 4D Gaussian rasterization.
Custom tensor compiler achieving 3.8x higher throughput per cluster node than generic PyTorch setups.
World-Class AI & Systems Leadership
Stanford Artificial Intelligence Laboratory fellow. Former Head of Autonomous Kinematics at Waymo and DeepMind Robotics fellow. 14 peer-reviewed publications and 6 foundational patents in continuous neural simulation.
Doctorate in Computational Mechanics from ETH Zurich, Postdoc MIT CSAIL. Architect of the 10,000-instance massively parallel synthetic physical simulation environment.
Ex-CERN high-performance distributed systems lead. Specialized in petascale multi-node InfiniBand interconnects and custom FP8 tensor parallel kernels.
Accelerator Compute Request & Seed Financing
Join the 4D Foundation Generation
We are closing our seed round and onboarding inaugural accelerator enterprise pilots. Access our audited financial model, patents, and live cluster inference sandbox.