The EY organization has introduced a new “EY physical AI” platform, opened a dedicated “EY.ai Lab,” and named Dr. Youngjun Choi as its Global Robotics and Physical AI Leader. The announcements mark a major step by EY to help clients deploy AI-enabled robotics, drones and smart-edge devices in real-world environments.
The new platform was developed in collaboration with NVIDIA, making use of its Omni verse libraries, Isaac simulation tools, and NVIDIA AI Enterprise software. This technical base will offer businesses a structured way to design, test, and manage physical-AI systems from robots and drones to smart-edge hardware before deploying them in real operational settings.
Central to the EY physical AI platform are three foundational pillars. First, it enables generation of “AI-ready data,” including synthetic data, allowing simulation of diverse real-world scenarios.
Second, it supports creation of digital twins and robotics simulation and training using NVIDIA’s Omni verse and Isaac tools enabling clients to validate performance, monitor metrics, and simulate operations in realistic 3D environments ahead of real-world deployment. Third, it emphasizes responsible physical-AI deployment embedding safety, compliance, ethics, and operational resilience from the outset.
The newly opened EY.ai Lab, the first fully dedicated facility of its kind in EY’s global network is located in Alpharetta, Georgia. The lab is equipped with advanced robotics hardware, sensors, and simulation capabilities.
Organizations can use the lab to prototype, simulate, and test physical-AI systems including robots of various form factors (from humanoids to quadrupeds), drones, and other robotic platforms. This gives clients a controlled environment to validate financial viability and operational feasibility before committing to full-scale deployment.
EY Global Managing Partner for Growth & Innovation, Raj Sharma, noted that the platform aims to help businesses accelerate adoption of physical AI delivering greater automation, improved efficiency, and reduced operating costs by combining EY’s industry expertise with NVIDIA’s technological infrastructure.
Meanwhile, NVIDIA’s Enterprise AI leadership highlighted that the EY.ai Lab can help enterprises “simulate, optimize and safely deploy robotics applications at enterprise scale,” paving the way for a broader industrial-AI transformation.
This development builds on earlier 2025 advances by EY in the AI domain. Earlier this year, EY launched its EY.ai Agentic Platform and a private-cloud deployment option to bring AI agents and reasoning systems to enterprise clients.
The new physical-AI initiative broadens EY’s AI offerings from digital and software agents to tangible, real-world robotics and automation signaling a shift toward integrating AI across both digital and physical infrastructure.
The expansion is poised to impact multiple sectors including industrials, energy, consumer goods, health, and emerging domains like smart cities wherever automation, operational efficiency, or sustainable AI-enabled workflows are priorities. By offering a full lifecycle from simulation to deployment EY hopes to lower barriers for businesses to adopt physical AI safely and at scale.
Overall, EY’s launch of the EY physical AI platform, the launch of EY.ai Lab, and the leadership appointment mark a significant milestone in the integration of AI with real-world robotics and infrastructure. For enterprises seeking to adopt AI-driven automation responsibly, EY aims to provide an end-to-end, enterprise-ready solution. For more daily AI news updates, visit ainewstoday.org.
