AuraML has launched AuraSim, a multimodal world simulation model that generates physics-ready, high-fidelity environments for robotics. Built on NVIDIA Omniverse and NVIDIA Cosmos, AuraSim is positioned as an infrastructure layer for the robotics industry, aiming to reduce the time and cost of developing physical AI systems.
The platform can build simulation-ready digital twins from diverse inputs, including text descriptions, floor plans, videos, depth maps, and point clouds. The announcement was made during the India AI Impact Summit 2026.
Ayush Sharma, Co-founder of AuraML, said in a statement, “Our integrated workflows provide the critical infrastructure needed to make Physical AI more robust. By launching the first multimodal world simulation model from India, powered by NVIDIA’s world-class simulation technology, we are providing a global toolset to accelerate the development of advanced robotics foundation models everywhere.”
Key features of the platform include multimodal flexibility, physics-ready outputs, agentic automation, and rapid iteration.
AuraSim enables the simulation of industrial facilities from architectural floor plans and video walkthroughs. This allows testing of humanoid robots, autonomous mobile robots, and robotic arms in synchronized workflows before deployment, the company said in a statement.
AuraML worked closely with NVIDIA to integrate its platform with NVIDIA Isaac Sim, designed to develop, test, train, and deploy AI-powered robots, and accelerated computing infrastructure.
Tobias Halloran, Director of EMEAI Startups and Venture Capital at NVIDIA, added that India’s AI startup ecosystem is primed for acceleration, driven by exceptional technical talent and global ambition. “NVIDIA is accelerating this momentum by giving founders direct access to accelerated computing, scalable AI infrastructure, and programs like NVIDIA Inception and the Inception VC Alliance—helping startups scale faster and build for global markets."
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