Taiwanese startup MetAI is building AI-powered simulation environments for the next generation of industrial and physical AI. A member of NVIDIA’s Inception start-up programme, MetAI is integrating NVIDIA Omniverse technologies, including NVIDIA USD Search microservices, into its digital twin generation platform, MetGen. This aims to enable the development of 3D SimReady environments from 2D CAD blueprints, beginning with the warehousing industry.

MetGen, MetAI’s SimReady environment generation engine, can transform standardised 2D CAD files and structured data into high-fidelity, operational digital twins. These can then be applied directly for AI training, robotics testing, automation logic refinement, and synthetic data generation.

With the integration of NVIDIA USD Search, users can now instantly locate and retrieve standardised SimReady assets from connected libraries, significantly reducing build time and enhancing scalability.

“From layout blueprints to SimReady assets, we’re building the infrastructure needed to train the next generation of industrial and physical AI,” said Daniel Yu, Co-founder and CEO of MetAI. “By integrating NVIDIA USD Search, we’re enabling a closed-loop workflow—where users can generate assets with MetGen, build their own searchable libraries, and dynamically retrieve components to streamline simulation creation. This shortens setup cycles and unlocks scalable, intelligent environment generation.”