Digital Twin Consortium.
The Digital Twin Consortium has announced that a selection of its members are both developing and utilising Multi-agent GenAI Systems (MAGS) to redefine what is possible in product design, services, and processes. These members come from a selection of industries including automotive, infrastructure, and manufacturing where users have seen improvements in productivity and efficiency with more streamlined operations observed.
“MAGS provide the next phase of the evolution of digital twin systems and continue to increase business values,” said Dan Isaacs, GM & CTO of Digital Twin Consortium. “Digital twin MAGS are evolving to address challenges such as increasing trusted autonomy and operating with trusted digital twins. Future applications, such as life-critical operations, will require significant testing across many different areas with extensive validation for trustworthiness.”
With the addition of GenAI, digital twins can offer enhanced levels of automation that integrate both copilots and the ability to perform a multitude of tasks either independently, self-organising, self-optimising, or orchestrated with or without human assistance. The GenAI capabilities can help the agent perceive its environment including making decisions, multiple modalities, and independently acting and communicating with other agents.
“XMPro’s work on Multi-Agent Generative Systems (MAGS) extends intelligent digital twin capabilities to include more complex decision-making processes. Early implementations for an Infrastructure Water Utilities Management application have shown potential for enhancing process optimisation in real-time,” said Pieter van Schalkwyk, CEO of XMPro. “As this technology evolves, we’re focusing on ensuring its alignment with established safety protocols and ethical guidelines to address the challenges of increased system autonomy.”
“Sev1Tech is leveraging the power of multi-agent generative AI within our advanced digital twin platform. This integration allows us to harness the full potential of the digital thread. This comprehensive data framework spans the entire lifecycle of a product,” said Greg Porter, Principal Solution Architect, Sev1Tech. “Our innovative approach is transforming various aspects of our manufacturing operations.”
“SODA has pioneered an advanced multi-agent system that revolutionises the entire automotive development lifecycle. MAGS can autonomously implement improvements to build times, test efficiency, and resource allocation (at an early stage),” said Sergey Malygin, CEO of SODA. “The system learns from these optimisations, becoming increasingly efficient without human intervention. MAGS seamlessly integrates with Digital Twin technology and Software Defined Vehicle (SDV) approach, creating a dynamic, intelligent ecosystem for automotive innovation that spans from concept to certification and after-sales.”