World Models and Reinforcement Learning Pave the Way to Physical AI

QCraft Physical AI Model Unified Architecture

Delivering enhanced inference, optimized decision-making and superior generalization capability

The Cloud Foundation of QCraft Physical AI

Controllable World Generation

Zero-Shot Generative Engine

Cost-efficient Closed-loop Simulation

A general-purpose AI foundation for the physical world, powered by world models and reinforcement learning
Supports multi-sensor fusion, long-horizon reasoning, and complex-scene decision-making
Provides unified technical support for the full stack from L2+ to L4 autonomous driving

Breaking the upper limit of NOA performance while safeguarding the bottom line of safety

QCraft aims to achieve safety 10x better than human driving

The Optimal Path to Autonomous Driving