Accelerating physical AI for the enterprise

Together, EY and NVIDIA help organizations design and build safer, smarter and more autonomous operations.

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Every industry that depends on physical operations faces a common reality: Legacy approaches to labor, safety and scale are quickly becoming unsustainable, and advancements in technologies are quickly separating the leaders from laggards. Physical AI — the technology that enables AI to perceive, reason about, and act in the physical world — is the next frontier. Through the EY–NVIDIA Alliance, we bring it to life for the world's most complex enterprises.

As an NVIDIA Preferred Provider for Physical AI, EY teams work closely with NVIDIA on developing strategic services and solutions. NVIDIA provides the platform: accelerated computing, Omniverse for digital twin development, Isaac for high-fidelity robotics simulation and policy training, Cosmos as a frontier World Foundation Model (WFM) and CuOpt for GPU-accelerated decision optimization. EY teams bring the strategy, architecture, industry experience, integration and responsible AI governance to turn that technology into business outcomes. Together, we offer a full-spectrum physical AI capability — from boardroom strategy to factory-floor deployment.

Global industries face mounting pressures that physical AI can help solve

EY teams help address these critical challenges:

How EY can help

EY Physical AI services, powered by NVIDIA

Physical AI strategy

Strategic roadmaps for deploying physical AI — from digital twins and simulation to robotics and autonomous systems — aligned with the NVIDIA technology roadmap. Includes identifying highest-value use cases for immediate ROI.

Digital twins and simulation

Physically accurate, data-connected digital twins developed with NVIDIA Omniverse libraries, with synthetic data generation from NVIDIA Cosmos to accelerate AI training and scenario modeling.

Safety, ethics and governance

Guardrails ensuring autonomous systems and simulation-driven decisions are safe, ethical and compliant, incorporating NVIDIA NeMo Guardrails and EY Responsible AI principles.

Physical AI architecture

Scalable, modular reference frameworks built on NVIDIA DGX Cloud, Omniverse libraries, Isaac Sim and Isaac Lab, Cosmos, NIMs and Blueprints, and Metropolis — including digital twin infrastructure.

Implementation and integration

Production-grade delivery integrating NVIDIA Omniverse libraries for digital twins, NVIDIA Isaac Sim and Isaac Lab for robotics training, NVIDIA Cosmos for world simulation, and NVIDIA CuOpt for real-time optimization.

Asset management and operations

Managed services for digital twins, robotic fleets and autonomous systems — with continuous synchronization between real-world telemetry and NVIDIA simulation environments.

Use cases

The intelligent shipyard

Improve autonomous fleet planning and operations using a digital twin-driven recommendation engine built on NVIDIA Omniverse and Isaac Sim. 

Safety at scale in aerospace and ports

Demonstrate how safety‑critical workflows are validated using a physics‑based digital twin that simulates humanoid robotic platforms in aerospace and port environments. 

Hyper-realistic energy digital twin

Transform operating models with hyper-realistic digital twins that accurately represent assets, environments and operating conditions.

Webcast: Scaling Physical AI from pilot to production

Join leaders from EY and NVIDIA, along with industry pioneers, to explore how organizations are operationalizing digital twins, robotics and autonomous systems at scale from pilots to production.




Make your physical AI strategy the real competitive edge

Get in touch to learn how EY and NVIDIA teams are transforming physical operations at scale.