Federico Felici and Jonas Buchli, former researchers with backgrounds at Google DeepMind and EPFL, have launched Fusionality, a startup focused on building control systems for fusion reactors. The company, based in Lausanne, Switzerland, recently raised $3.7 million in pre-seed funding from investors including Founderful and Playfair. Fusionality addresses a gap in the fusion power industry where many companies develop their own reactor control systems from scratch despite significant overlap in requirements. Fusion reactors rely on precise control of plasma conditions, such as temperature and shape, to sustain fusion reactions. These control systems are complex but share common physics across different reactor designs. Fusionality plans to develop modular hardware and software components that can be customized by fusion startups to fit their specific devices. The founders' experience includes teaching AI to control experimental tokamaks and creating machine learning simulations for fusion at DeepMind. While AI is expected to enhance fusion control systems, Felici notes it is not yet ready to fully automate reactor control. Initially, Fusionality will focus on magnetic confinement fusion, a leading approach using electromagnets to contain plasma, with plans to expand to other fusion methods. The startup’s modular approach aims to streamline the development of fusion control systems, potentially accelerating the path to commercial fusion power.