EY and NVIDIA physical AI partnership has launched a physical AI platform designed to help companies test and deploy advanced AI-powered robotics with greater safety and efficiency. Announced in December 2025, the platform introduces an innovative approach combining AI-ready synthetic data, digital twins robotics powered by NVIDIA Omniverse, and robust ethical governance to accelerate enterprise AI solutions.
EY and NVIDIA Physical AI Platform: Transforming Robotics Testing and Deployment
The new physical AI platform focuses on enabling organizations to design, simulate, and optimize AI-driven robots—ranging from humanoids to quadrupeds—using synthetic data that replicates real-world conditions. This data foundation accelerates robotics training and improves operational continuity. Integrating NVIDIA Isaac tools and robotics simulation training, the platform bridges virtual environments with physical testing, lowering risk and development time.
Raj Sharma, EY Global Managing Partner – Growth & Innovation, emphasized how physical AI is transforming industries such as manufacturing, energy, and healthcare by boosting automation and reducing costs. With NVIDIA’s accelerated computing, EY aims to move clients swiftly from pilot projects to full-scale deployment.
EY.ai Lab Georgia: The Hub for Physical AI Innovation
The launch also includes the opening of the EY.ai Lab in Alpharetta, Georgia, a first-of-its-kind facility dedicated to physical AI solutions. Led by Dr. Youngjun Choi, EY’s Global Robotics and Physical AI Leader, the lab provides a testbed environment equipped with robotics, sensors, and simulation tools. Clients can run comprehensive “what-if” analyses and prototype solutions before real-world implementation.
This lab supports improving logistics, manufacturing processes, and maintenance via advanced digital twins robotics. John Fanelli, NVIDIA Vice President of Enterprise AI Software, highlighted the lab’s critical role in safely scaling robotics applications as part of the industrial AI revolution.
Driving Enterprise AI Deployment and Responsible Automation
The collaborative platform advances enterprise AI deployment by integrating governance frameworks for safety, ethics, and compliance, emphasizing responsible physical AI. EY and NVIDIA’s approach enables businesses to scale physical AI solutions confidently while aligning with sustainability goals through reduced waste and enhanced automation.
This initiative amplifies opportunities in AI-driven business automation for sectors facing workforce challenges. For continued insights on this evolving area, visit AI business automation trends.
The partnership builds on prior successful AI projects and plans to extend into sectors like energy, health, and smart cities. Explore more about the technology behind these advances via the EY official announcement and NVIDIA alliance page
