MetAI Technology Co., a developer of AI-powered simulation infrastructure, has partnered with industrial automation provider Kenmec Mechanical Engineering Co. as one of the first adopters of NVIDIA Omniverse Mega Blueprint in a real-world industrial environment. The Taiwanese companies said their collaboration shows how simulation, artificial intelligence, and robotics can converge to enable new smart warehousing and manufacturing operations.
“We’ve always believed that simulation should be the starting point—not the end—of industrial innovation,” stated Daniel Yu, co-founder and CEO of MetAI. “With NVIDIA’s platforms and blueprints, we’re now able to connect digital twins with multiple robotic brains, manage full fleets virtually, and enable real-to-sim and sim-to-real workflows—empowering AI agents to learn best practices before entering the real world.”
MetAI said it builds the training infrastructure for industrial and physical AI. Its core platform, MetGen, transforms blueprints into simulation-ready environments for testing robotics, AI agents, and automation logic before anything is built, the company claimed.
It added that it bridges the simulation-to-reality gap at scale for smart warehouses, automated factories, and precision production lines. MetAI raised $4 million in seed funding in January.
Kenmec said it provides intelligent automation solutions with proven expertise in smart logistics, green energy, and industrial robotics. The company asserted that its “end-to-end” systems can help warehouses and factories adapt and thrive in the age of AI-driven automation implementation.
Partners integrate digital twins and robots
At the heart of MetAI and Kenmec’s collaboration is the integration of NVIDIA Omniverse libraries, MetAI’s MetGen digital twin generation platform, its Controller Simulator for real-time logic testing, and Kenmec’s domain expertise in warehouse logistics and automation.
The partners’ teams virtualized the entire Chief Smart Logistics Center, creating a full-fidelity simulation environment that brings together physical dynamics, real-time controller logic, AI-driven testing, and optimization.
Kenmec and MetAI said their collaboration delivers the following benefits:
- The NVIDIA Omniverse Mega Blueprint enables large-scale simulation of diverse industrial AI and robot models through software-defined testing and optimization in factories and warehouses.
- The MetGen-powered SimReady digital twin generator can transform 2D blueprints and production data into simulation-ready OpenUSD environments.
- MetAI’s controller simulator integration connects and tests real PLC controller logic inside OpenUSD-based digital twins before deployment.
- Robot fleet simulation, which includes Kenmec’s conveyor systems, Solomon’s robotic arms (via NVIDIA Isaac Manipulator), autonomous mobile robots (AMRs), smart cameras, and more.
- AI agent optimization that can enhance control logic, improve layouts, reduce failure scenarios like tailgating, and streamline automation workflows, according to the companies.
By combining real-world logic with MetAI’s generated simulation technology, this version of a “world simulator” provides a safe, scalable environment for validating entire robotic ecosystems—accelerating development while reducing cost and risk, they said.
Now accepting session submissions!
MetAI and Kenmec plan to extend simulation approach
Building on this success, Kenmec and MetAI plan to expand their simulation-first approach into broader robotics and physical AI use cases, including:
- Automated material handling systems (AMHS) for advanced semiconductor manufacturing
- AMR fleets for smart warehouses and production lines
- AI-driven optimization of production workflows and facility layouts
The companies said these future deployments will continue to validate the Mega Blueprint as a foundational architecture for real-time, simulation-powered robotics across the industrial landscape.
NVIDIA said this collaboration supports its broader vision to enable simulation-native automation through the NVIDIA Omniverse Mega Blueprint.
