Representative End User Clients
Representative Automation Clients
Representative Software Clients
Hitachi and NVIDIA are developing a more secure, vendor-agnostic multi-agent orchestration platform to help coordinate AI agents, industrial equipment, and digital twins across manufacturing and social infrastructure environments.
Hitachi announced a collaboration with NVIDIA to develop multi-agent orchestration technology designed to help support end-to-end autonomous operations across manufacturing and social infrastructure environments.
The collaboration is intended to further expand HMAX by Hitachi, the company’s suite of AI-enabled industrial solutions, by helping to diverse facilities, equipment, systems, and AI agents to operate in a more coordinated manner. The proposed architecture is expected to support equipment and systems from multiple manufacturers through a vendor-agnostic approach.
Hitachi and NVIDIA plan to develop a Multi-Agent Orchestration Platform that connects operational technology, artificial intelligence, digital twins, and edge computing capabilities. The platform is intended to help coordinate multiple AI agents while protecting enterprise information and supporting data sovereignty in mission-critical environments.
Combining Hitachi IWIM with NVIDIA AI Technologies
Hitachi will use its Integrated World Infrastructure Model, or IWIM, as the platform’s knowledge and reasoning foundation. Introduced in 2025, IWIM incorporates Hitachi’s operational technology knowledge and understanding of physical infrastructure to help support the design, development, and operation of complex facilities and systems.
The platform will integrate IWIM with technologies from the NVIDIA Agent Toolkit, including NVIDIA OpenShell, the NVIDIA NemoClaw agent blueprint, and NVIDIA Nemotron open-source models.
NVIDIA OpenShell will provide secure runtime and gateway capabilities intended to help limit unauthorized access and the exposure of confidential information. NemoClaw will support communication, task delegation, and coordination among agents, while Nemotron models will be used to analyze changing conditions across operational environments and equipment.
The companies also plan to connect IWIM with NVIDIA Cosmos world foundation models. This integration will help to enable proposed AI decisions and control actions to be tested within digital twin environments before they are applied to physical equipment.
Hitachi has also joined the NVIDIA Cosmos Coalition, an industry initiative focused on further advancing the development of physical AI models and supporting their deployment across robotics and industrial applications.
Supporting Vendor-Agnostic Industrial Operations
Industrial sites often include a mixture of legacy systems, robotic equipment, edge devices, control systems, and software from different suppliers. Coordinating these systems can be difficult because they use different communication methods, control logic, and operating models.
The planned platform is intended to provide a supervisory layer through which AI agents can exchange information, assign tasks, and coordinate operational decisions. This could help to enable facilities to integrate newer autonomous systems without having to replace existing assets or committing to a single equipment supplier.
Hitachi expects the architecture to support hybrid deployments that combine sovereign enterprise environments with AI technologies from external partners. This approach is intended to help protect proprietary operational knowledge while allowing organizations to incorporate new AI models and capabilities.
Technical Validation Priorities
Hitachi and NVIDIA are conducting technical validation of the Multi-Agent Orchestration Platform across three primary areas:
Connecting infrastructure knowledge with world models. Hitachi will combine the operational and engineering knowledge contained within IWIM with NVIDIA Cosmos models to help simulate physical constraints, safety requirements, and operational rules in digital environments.
Validating secure supervisory agents. NVIDIA NemoClaw and OpenShell will be used to test communication and task delegation between supervisory agents, industrial equipment, and other AI agents while limiting unauthorized access and information leakage.
Coordinating real-time monitoring and control. NVIDIA Nemotron multimodal models will analyze operational conditions at the edge and support coordinated control across equipment with different control mechanisms, including valves, quadruped robots, and compact camera robots.
The digital twin validation environment will be used to help assess whether AI-generated objectives and control actions comply with physical constraints and site-specific safety requirements before deployment.
Physical AI FDE Team to Support Deployment
Hitachi will support customer implementation through a Physical AI Forward Deployed Engineer Team. The team combines the digital engineering capabilities of Hitachi subsidiary GlobalLogic with Hitachi’s experience in operational technology, industrial systems, and social infrastructure.
The Physical AI FDE Team will work with customers to identify use cases, design system architectures, and implement solutions using the Multi-Agent Orchestration Platform. Its work will span edge devices, hardware, cloud systems, industrial equipment, and AI applications.
The team will also help customers develop hybrid architectures that integrate legacy equipment with robots, AI agents, and other systems from different manufacturers.
Hitachi expects the deployment experience and technical validation completed through these projects to contribute to the continued development of HMAX.
Expanding the HMAX Architecture
Hitachi introduced HMAX as a suite of AI solutions supported by NVIDIA technologies, including NVIDIA IGX for industrial edge computing, NVIDIA Holoscan for sensor processing, and NVIDIA Metropolis for video analytics.
The expanded HMAX architecture is intended to help move beyond individual AI applications toward coordinated operations across an entire facility or infrastructure environment. Rather than using AI separately for inspection, monitoring, robotics, or equipment control, the proposed platform would allow multiple systems and agents to share information and work toward common operational objectives.
Hitachi and NVIDIA plan to work with customers and technology partners across robotics, mobility, energy, and industrial equipment to validate the architecture and establish a broader physical AI ecosystem.
The success of the initiative will depend on whether the companies can securely coordinate heterogeneous systems, demonstrate reliable performance in mission-critical environments, and translate digital twin validation into safe, repeatable control of physical operations.
As Hitachi and NVIDIA move from technical validation to customer deployments, the key measure will be whether the platform can securely coordinate diverse AI agents and physical systems while meeting the reliability and safety requirements of mission-critical industrial environments.
Related ARC Insights
The development reflects a broader industry shift toward interconnected AI agents, physical AI, and digital twins that can support increasingly autonomous industrial operations. Related ARC Advisory Group coverage includes:
NVIDIA Partners with US Manufacturing Leaders to Drive Physical AI
The Context Layer and the Agentic Foundry: Siemens Operationalizes the Industrial Digital Twin
Follow ARC Advisory Group for the latest trends in sustainability, automation, and next-generation technology.