As AI systems scale, sound unlocks a rich, untapped data layer that captures context beyond the limits of computer vision and turns every environment into a continuous stream of actionable insights.

Robin is a Cambridge Alumnus with several years of experience in solid-state physics. He has worked on advanced materials, including hybrid nanostructures, and previously spent time at the Institute for Manufacturing, working with large enterprises. Robin holds a Master’s in Engineering from the University of Cambridge and a Bachelor’s in Physics.

Ann-Kristin is a DeepMind Scholar with 5+ years of experience ranging from Multi-Agent Systems, Deep Neural Networks to Probabilistic Machine Learning. She holds a Master’s in Machine Learning from the University of Cambridge, a Bachelor’s in AI and Cognitive Science, and has published research in the field of explainable AI.

Adrien is a second-time founder with a background in applied acoustics and advanced manufacturing. He previously developed a patented technology that received international recognition, including the Grand Award at Intel ISEF in the USA. He holds a Master’s in Mechanical Engineering from Imperial College London and ETH Zurich.