Deloitte has strengthened its long-standing collaboration with NVIDIA to deliver next-generation physical AI solutions, marking a significant step forward in the industrial AI landscape. Through this expanded alliance, Deloitte will develop new products and services focused on high-fidelity digital twins, advanced computer vision, and secure edge robotics. As a result, organizations can accelerate time-to-value, minimize operational risk, and confidently scale intelligent machines into full production environments.

Across industries worldwide, businesses are increasingly embedding physical AI into their operations. By leveraging AI capabilities such as perception, understanding, action, and collaboration, companies are deploying robots, autonomous vehicles, sensor-driven systems, and advanced simulations. Notably, Deloitte’s recent State of AI in the Enterprise report reveals that 58% of companies already use physical AI in some capacity. Moreover, adoption is expected to reach 80% within the next two years, underscoring rapid market momentum.

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“Physical AI is moving fast from experimentation to real-world deployment, and changing how work is performed,” says Nitin Mittal, Deloitte Global AI leader. “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.”

Scaling Physical AI with Integrated Capabilities

To turn ambition into execution, Deloitte engineers are building physical AI solutions using NVIDIA Omniverse libraries. These solutions allow clients to simulate complex decisions, enhance situational awareness, and deploy embodied AI systems at scale. Furthermore, Deloitte combines its industry-specific expertise with outcome-driven strategies to help governments and enterprises generate measurable impact.

For instance, Deloitte enables organizations to visualize and optimize operations through immersive simulations. By integrating digital twins built on NVIDIA Omniverse libraries with augmented reality (AR), virtual reality (VR), and AI, businesses can seamlessly merge physical and digital experiences. In the automotive sector, Deloitte collaborates with manufacturers to create digital twin simulations of factories and warehouses. Consequently, companies improve production planning, boost throughput, enhance worker safety, and reduce operational costs.

At the same time, Deloitte helps organizations securely scale physical AI deployments through edge computing and robotics. By leveraging open robotics frameworks such as NVIDIA Isaac Sim and NVIDIA Cosmos world foundation models, alongside NVIDIA Jetson Thor, Deloitte synchronizes workloads across edge and cloud environments. In the life sciences industry, this approach enables companies to deploy humanoid systems that integrate simulation, synthetic data, teleoperation, and sim-to-real validation thereby accelerating safe and practical AI adoption.

Additionally, Deloitte empowers enterprises to interpret the physical world digitally through advanced computer vision. Using NVIDIA Blueprint for video search and summarization (VSS), Cosmos Reason VLM, and NVIDIA Metropolis, companies can deploy AI-powered video analytics agents that combine real and synthetic data for efficient training and reasoning.

A notable example of this collaboration took place at an automotive plant in Valladolid, Spain, with Horse Powertrain. As part of its operational efficiency initiative kAIros, launched in August 2025, Deloitte implemented advanced anomaly detection algorithms to predict equipment failures and enhance 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. 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,” says Patrice Haettel, Horse Technologies, CEO.

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Early adopters across manufacturing, automotive, and life sciences sectors have already demonstrated measurable success. Through simulation-led testing and secure edge AI, organizations are reducing downtime and accelerating decision cycles.

“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,” says Deepu Talla, vice president of Robotics and Edge AI at NVIDIA. “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.”

Global Centers of Excellence to Drive Innovation

To further advance physical AI adoption, Deloitte is launching a global network of Centers of Excellence (CoEs). Most notably, the firm recently opened a new physical AI CoE in Shanghai. This center unites Deloitte’s global ecosystem, implementation expertise, and digital consulting capabilities with NVIDIA AI solutions and infrastructure. As a result, clients can seamlessly transition from prototype development to full-scale production while addressing security and regulatory requirements particularly in manufacturing and industrial robotics applications.

Through this expanded partnership, Deloitte and NVIDIA are positioning enterprises to transform physical operations with intelligent, scalable AI systems built for the real world.

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