CAE Inc. is spearheading a research initiative in Hungary to develop a more intuitive interface for large-scale military and emergency response simulations. The project, supported by the Hungary National Research, Development and Innovation Office with HUF 621,861,558 in funding, aims to bridge the gap between powerful simulation technology and user accessibility.
Led by CAE’s Hungarian subsidiary in partnership with ARWorks Kft. and Óbuda University, the team is designing a scalable graphical user interface (GUI) tailored for Live-Virtual-Constructive (LVC) training environments. These multi-domain simulations—which integrate live exercises with virtual and constructive elements—are critical for preparing defence and security personnel for complex operational scenarios. However, the cloud-based technologies that enable such large-scale exercises often present significant usability challenges, requiring specialized expertise to operate effectively.
The project seeks to change that by harnessing advanced automation, machine learning, and generative AI. The goal is to create an interface that simplifies the setup and management of intricate simulation scenarios, allowing users to focus on training objectives rather than technical complexities. This would make realistic, decision-support simulations more accessible for both defence operations and emergency response planning.
“This project exemplifies CAE’s commitment to innovation and our mission to make training and simulation technology even more intuitive and impactful,” said József Hajdu, Country Manager of CAE Hungary. “By collaborating with leading Hungarian university partners and SMEs, and harnessing advanced technologies, we are shaping the future of training and simulation for the defence and security industry worldwide.”
The initiative underscores CAE’s broader strategy to maintain global leadership in defence training by delivering smarter, scalable solutions. As military and security organizations face increasingly complex threats, the ability to rapidly configure realistic simulations becomes a strategic advantage. By investing in user-centric design and cutting-edge AI, CAE aims to ensure that next-generation training tools remain both powerful and practical for operators in the field.
