AuraML launches multimodal World Simulation Model built on NVIDIA AI infrastructure

AuraML has unveiled AuraSim, a multimodal world simulation platform designed to generate physics-ready environments for robotics training and deployment. Built using NVIDIA AI infrastructure, the platform enables developers to create high-fidelity digital simulation environments from inputs such as text descriptions, floor plans, videos, depth maps, and point clouds.

Positioned as a foundational infrastructure layer for robotics and logistics applications, AuraSim aims to accelerate the development and deployment of physical AI systems by enabling large-scale simulation before real-world implementation. Alongside the launch, AuraML also announced the Global Physical AI & Robotics Cohort, a training initiative developed in collaboration with NVIDIA Inception to build skills in robotics simulation and physical AI development.

Bridging digital and physical environments

Training autonomous systems requires scalable simulation environments that accurately replicate physical conditions. AuraML’s platform converts multimodal inputs into “sim-ready” digital twins designed to reflect real-world physics, enabling robotics developers to test ...