Deloitte has announced an expansion of its collaboration with Nvidia to develop new physical AI solutions aimed at accelerating the adoption of intelligent systems in real-world industrial environments.
The initiative focuses on technologies such as digital twins, computer vision, edge computing and robotics, combining Deloitte’s engineering and industry expertise with Nvidia’s AI and simulation platforms.
According to Deloitte, the solutions will be built using libraries from Nvidia Omniverse and are designed to help organizations simulate operations, analyze physical environments and deploy intelligent machines in production.
From experimentation to real-world deployment
The companies say the collaboration reflects a broader shift as physical AI moves from early experimentation to real-world deployment across industries such as manufacturing, automotive and life sciences.
“Physical AI is moving fast from experimentation to real-world deployment, and changing how work is performed,” said Nitin Mittal. “By leveraging Nvidia’s advanced technology stack with Deloitte’s engineering expertise and deep industry knowledge, we are helping organizations to build new intelligent physical spaces in the age of AI.”
Deloitte’s State of AI in the Enterprise report suggests the transition is already under way. The report found that 58 percent of companies are using physical AI in some form, with adoption expected to reach 80 percent within the next two years.
Physical AI systems combine perception, reasoning and action to operate machines such as robots, autonomous vehicles and industrial sensor networks.
Simulation, robotics and computer vision
Deloitte says its new solutions are designed to support three main areas: simulation-based planning, edge robotics deployment and computer vision for interpreting physical environments.
Digital twins built with Nvidia Omniverse allow organizations to model and optimize operations before changes are made in the real world. Deloitte says it is already working with automotive companies to create virtual models of factory and warehouse operations to improve planning and operational efficiency.
The company is also developing robotics and edge AI systems using frameworks such as Nvidia Isaac Sim and Nvidia Cosmos world foundation models, alongside hardware platforms like Nvidia Jetson Thor.
In the life sciences sector, Deloitte says these technologies are being used to support the deployment of humanoid robotic systems by combining simulation, synthetic data, teleoperation and sim-to-real validation.
Computer vision applications are another focus area. Deloitte is using Nvidia tools including Metropolis and Blueprint for video search and summarization to analyze video data from industrial environments.
One recent project involved work with Horse Powertrain at a factory in Valladolid, Spain. As part of an operational efficiency project known as kAIros, Deloitte deployed anomaly-detection algorithms designed to predict equipment faults and improve inspection accuracy.
“kAIros marks a milestone in our transformation. By combining on-premise supercomputing with Nvidia technology, we have created an ecosystem capable of deploying real-world use cases across all our departments,” said Patrice Haettel.
“Together with Deloitte, we are proving that ‘the time is now’ for HORSE to lead operational efficiency in Europe through a world-class AI infrastructure.”
Edge AI and simulation speeding deployment
Deloitte says early implementations suggest that simulation-led testing combined with secure edge AI systems can help organizations reduce operational downtime and make faster decisions.
“As the demand for physical AI and digital twin technologies accelerates, enterprises are moving beyond exploration to optimize complex operations and enhance real-world decision-making,” said Deepu Talla. “Fusing Nvidia’s full-stack physical AI platform with Deloitte’s industry experience provides a scalable path for organizations to move intelligent systems into full-scale production faster via simulation.”
Expanding a global physical AI network
To support the development and deployment of these technologies, Deloitte is establishing a global network of physical AI centers of excellence.
The company recently opened a new facility in Shanghai focused on industrial AI applications, including robotics and manufacturing automation.
According to Deloitte, the center will combine its consulting and engineering capabilities with Nvidia’s AI platforms to help organizations move physical AI systems from prototype to production while navigating regulatory and security requirements.
