Digital Twin Consortium Announce Pioneering Testbed Program to Advance DT Technologies
Digital Twin Consortium Announce Pioneering Testbed Program to Advance DT Technologies
Member-led initiatives demonstrate cutting-edge digital twin applications and transformative technologies
BOSTON, MA, May 22, 2025 — The Digital Twin Consortium® (DTC), as announced via GlobeNewswire, has launched its inaugural Digital Twin Testbed Program, a collaborative effort designed to propel the development, validation, and deployment of next-generation digital twin solutions. This member-driven initiative leverages agentic AI and enabling technologies to showcase the evolution of digital twins, offering participants unparalleled access to early-stage testbed environments. These environments enable participants to model, simulate, integrate, rigorously verify, deploy, and optimize digital twin solutions.
The Digital Twin Consortium Announce Pioneering Testbed Program is grounded in their Composability Framework, which integrates the Business Maturity Model, Platform Stack Architecture, and Capabilities Periodic Table, along with a maturity assessment framework that evaluates advanced technologies, including Generative AI and multi-agent systems.
According to a statement from Dan Isaacs, General Manager and CTO of Digital Twin Consortium, as cited in the GlobeNewswire release, the program has garnered significant global interest from members eager to participate in collaborative testbed development. These testbeds are already being utilized to create and adopt intelligent, generative digital twins alongside other enabling technologies, marking a significant step forward in digital twin innovation.
Key Digital Twin Consortium Testbeds Driving DT Evolution
The Digital Twin Consortium Testbed Program introduces several member-led initiatives, each addressing unique industry challenges and showcasing the transformative potential of digital twins. Below are the key testbeds announced:
Virtual Twins for Smart Factory Innovation
In response to escalating competition, labor shortages, and fluctuating demand, this Digital Twin Consortium testbed underscores the critical role of digital twins in modernizing manufacturing. By virtually simulating production lines, it drives innovation, reduces commissioning times, and leverages operational data for continuous improvement. The initiative is led by Dassault Systèmes, with a focus on enhancing smart factory capabilities.
Cognitive Network Orchestration
This Digital Twin Consortium testbed validates the ability of agent-based digital twins to communicate across industrial and business domains using standardized manufacturing ontologies. It establishes a multi-agency framework with operational infrastructure and communication protocols, enabling a network of intelligent agents to operate seamlessly across organizational boundaries. XMPro leads this effort in collaboration with Microsoft.
Generative AI for Healthcare Digital Twins
Focused on healthcare, this testbed evaluates a Generative AI agent’s ability to utilize retrieval-augmented generation (RAG) with graph data. Hosted on Axomem’s cloud and Azure AI Foundry, it assesses agent accuracy, cost optimization, and secure handling of sensitive data. Involving hospital representatives and Digital Twin Consortium members, the initiative, led by Axomem, aims to demonstrate safe and efficient GenAI deployment in healthcare settings.
A Blueprint for Property and Asset Risk Management
This testbed develops a standardized digital twin blueprint to transition from paper-based to real-time, AI-driven asset management. By integrating fault scenarios aligned with Martin’s Law, it enhances efficiency, environmental, social, and governance (ESG) outcomes, and regulatory compliance. Crysp leads this initiative in partnership with NEXUS at The University of Leeds and TUV SUD, supported by XMPro, DNV, SLB, the Ferdinand-Steinbeis Institut, Ingenuity Leeds, and Oak Ridge High School.
Automated Negotiation with Digital Twins and MAGs
This testbed demonstrates the ability of systems to autonomously negotiate agreements across organizations using digital twins for utility evaluation. It integrates multi-agent generative systems (MAGS) to enhance interactivity, reasoning, and autonomy while adhering to institutional policies. NEC leads this initiative with support from XMPro.
Digital Engineering for the Next Generation
This testbed creates a digital engineering ecosystem to accelerate asset development, skill acquisition, and workforce training. It captures a digital thread of all data from design to manufacturing, producing a “born qualified” asset—a desktop statue of a historical figure from the Manhattan Project, complete with a digital twin AR avatar for interactive engagement. Oak Ridge High School leads this effort, supported by XMPro, Sev1Tech, SLB, STEM TEC Services LTD, Ingenuity Leeds, and Dassault Systèmes.
Sustainable Energy Digital Twin for Operational Management
This testbed showcases a no-code enterprise platform for developing AI-ready digital twins for geothermal operations. It demonstrates scalable systems for complex energy infrastructure, enabling rapid deployment, spatial integration, predictive maintenance, and event handling in renewable energy and industrial operations. Decimetrix leads this initiative.
Digital Twins for Metal 3D Printing and Optimization
Addressing the demand for high-quality, complex geometry metal alloy parts, this testbed integrates an IoT-enabled 3D metal printer with a digital twin architecture for real-time, closed-loop control and diagnostics/prognostics. The initiative, led by Rowan University and XMPro, enhances manufacturing quality and interoperability, advancing digital manufacturing knowledge.
Industry Insights from Testbed Leaders
Testbed leaders provided insights into their initiatives, as quoted in the GlobeNewswire release:
Philippe DELANNOY, Industrial Equipment, Industry Business Value Consultant Director, Dassault Systèmes, stated:
“In an era of intensifying competition, skills shortages, and unstable demand, the need for modernized production facilities has never been greater. To stay ahead, companies must prioritize the integration of Digital Twins into their processes. This DTC testbed highlights the importance of leveraging Digital Twins to virtually simulate production lines, drive innovation, reduce commissioning time, and leverage operational data for continuous improvement.”
Sean Whiteley, Founder of AxoMem Pte Ltd, said:
“Our testbed is designed to show that GenAI agents can be safely embedded into healthcare digital twin systems. The testbed looks at aspects such as adherence to role-based controls, updating knowledge graphs in real-time, and protecting sensitive data. It’s focused on moving GenAI-based intelligent digital twins to live hospital deployment, not just experimentation.”
Pieter van Schalkwyk, CEO of XMPro, underscored the value of collaborative testbed environments in validating emerging technologies, particularly multi-agent generative systems that operate across organizational boundaries.
Yaser Mohammad, Research Scientist at NEC Corporation, highlighted the integration of negotiation AI with multi-agent systems to create reusable frameworks for decision-making orchestration in the agent economy.
Sian Purver, COO at Crysp, described their testbed as a practical blueprint for modernizing compliance through AI-driven digital twins, enhancing safety and sustainability.
Dr. David McKee, Chair of DTC’s Digital Engineering Working Group and CTO at Crysp, emphasized the scalability and real-world impact of composable, AI-powered digital twin systems.
Dr. Mark Buckner, Founder and Lead Instructor at Oak Ridge High School, detailed their testbed’s use of advanced manufacturing systems and AI-enhanced extended reality training to foster innovation and skill development.
Prof. Antonios Kontsos, Director of the Digital Engineering Hub at Rowan University, highlighted the collaborative environment for advancing high-quality metal additive manufacturing through digital twins and automated control systems.
Alejandro Zotti, President and CEO of Decimetrix, emphasized the scalability of their geothermal digital twin solution, integrating spatiotemporal data and real-time monitoring to enhance sustainable energy operations.
About the Digital Twin Consortium
The Digital Twin Consortium, a program of the Object Management Group®, is dedicated to accelerating digital twin innovation. By fostering development, raising awareness, and improving interoperability, DTC drives the adoption of digital twins across industries. For more information or to join the global leaders in digital twin evolution, visit the DTC website.
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