EY Unveils Innovative Physical AI Platform and Launches EY.ai Lab to Accelerate Robotics Integration
EY Unveils Innovative Physical AI Platform
On December 3, 2025, the EY organization revealed an exciting new physical AI platform, poised to transform how businesses leverage artificial intelligence. Built on NVIDIA's AI infrastructure, this platform is designed to assist organizations in seamlessly integrating AI into physical environments, harnessing advanced technologies like robotics and machine learning.
The EY.ai Lab: A Hub for Innovation
At the forefront of this initiative is the newly established EY.ai Lab, located in Alpharetta, Georgia. This facility is a part of a growing global network dedicated to pioneering AI solutions that blend seamlessly with real-world operations. The lab's primary goal is to support organizations in the development and implementation of AI applications that can significantly enhance their operational efficiencies and reduce costs. This innovative space is equipped with cutting-edge robotics, sensors, and simulation technologies, facilitating a rapid development environment for companies seeking to prototype and deploy scalable AI solutions.
Key Features of the New Physical AI Platform
The physical AI platform encompasses three foundational elements:
1. AI-Ready Data: The platform generates synthetic data to simulate various scenarios for physical AI, ensuring organizations have access to relevant data for informed decision-making.
2. Digital Twin Creation: By employing NVIDIA's Omniverse libraries, EY assists clients in developing digital twins for modeling and testing physical systems, thereby minimizing risks before deploying them in real-world situations.
3. Responsible Physical AI: EY emphasizes the importance of safety and ethics in AI implementation, ensuring robust guardrails are in place to maintain compliance and operational resilience.
Strategic Leadership Appointment
Additionally, EY appointed Dr. Youngjun Choi as its Global Robotics and Physical AI Leader. In this new role, Dr. Choi is tasked with driving the next wave of innovation in robotics and physical AI at EY. He brings nearly 20 years of experience in advancing solutions and fostering strategic partnerships in this rapidly evolving field. Previously, he led the UPS Robotics AI Lab, where he implemented groundbreaking robotics and AI initiatives that revolutionized operational networks.
Dr. Choi's leadership will be instrumental in guiding the EY.ai Lab's mission as it strives to become a premier destination for organizations looking to harness the power of advanced AI technologies.
The Future of Physical AI
As companies increasingly recognize the potential of robotics and automation, EY's physical AI solutions stand to reshape various sectors, including energy, health, and smart cities. This expansion not only reflects EY's commitment to innovation but also its ongoing collaboration with NVIDIA, aimed at advancing AI capabilities across industries by enhancing operational efficiencies and sustainability practices.
Raj Sharma, EY Global Managing Partner for Growth and Innovation, stated, "Physical AI is transforming business operations across sectors. By merging our industry expertise with NVIDIA's powerful AI infrastructure, we provide clients a path to responsibly orchestrate their AI developments and transition from experimentation to full-scale deployment."
NVIDIA’s Vice President of Enterprise AI Software, John Fanelli, echoed these sentiments, emphasizing how the EY.ai Lab empowers organizations to simulate and optimize robotics applications at an enterprise level. This collaboration is set to redefine operational landscapes and propel industries into the next phase of the AI revolution.
In conclusion, the unveiling of EY's physical AI platform and the opening of the EY.ai Lab signify a monumental leap toward integrating AI within operational infrastructures. As the demand for intelligent automation rises, EY is well-positioned to lead the way, establishing itself as a trusted partner for organizations eager to navigate the complexities of physical AI.