Richard Frey is CEO of INAIT, a Swiss deep-tech AI company pioneering digital brains for machines to enable life-like interaction in complex, dynamic environments. He leads the company in translating breakthrough AI research into fast-learning, generalizable systems that solve real-world industrial challenges – starting with Advanced Manufacturing and expanding into Robotics. Inait works with the Open Brain Institute as a strategic technology partner and Microsoft as its go-to-market partner to bring this new class of physical AI to industry at scale.
Richard brings more than 25 years of global experience leading multidisciplinary teams and building businesses at the intersection of science, technology, and commerce. He has held leadership roles across multinationals and technology innovators, with a consistent focus on innovation management and business building, turning frontier technologies into scalable commercial impact.
He studied at the University of Zurich and the London School of Economics, and completed the AMP at Harvard Business School. He is a limited partner in More Than Capital, an active investor in technology start-ups, and serves on select boards. Outside of business, he is focused on his family, longevity, and contemporary art.

Daniel Lütgehetmann is CTO of INAIT, the Lausanne-based deep-tech company building digital brains — AI grounded in two decades of biophysical brain reconstruction from the Blue Brain Project. A PhD mathematician in algebraic topology and computational neuroscience, he joined INAIT at its founding in 2018 and now leads research, engineering, and productization.

His focus is physical AI: turning neuroscience-derived learning algorithms into systems that run on real robots, under real constraints. He leads the teams taking INAIT’s digital brain technology from lab result to deployed product — models that learn from orders of magnitude less data and run at a fraction of the energy, with industrial robotics partners.

John focuses on building connected ecosystems where intelligent systems and humans work seamlessly together. With 18+ years in product strategy and innovation, he partners with innovative companies and senior leaders to shape new futures using AI, robotics, computer vision, smart sensing, and geospatial technologies.

He previously led product management at a major technology company and ran an industrial IoT startup. John holds an MBA from DeMontfort University, is pursuing an MS in Computer Science (AI) at Georgia Tech and frequently speaks on Physical AI. He is also a Gartner Product Management Ambassador.

Outside of work, John loves to explore new countries, hit the padel court, and catch live theatre.

Rebecca Yeung is a seasoned Fortune 50 senior executive and board director operating at the intersection of enterprise transformation, operational excellence, and technology innovation — with deep expertise in Physical AI, robotics and automation.

As FedEx’s Corporate Vice President of Operations Science & Advanced Technology and a member of the Strategic Management Committee, she led enterprise Physical AI and automation strategy across service lines, architected and governed a $100M+ robotics and autonomous systems investment portfolio, launched the Enterprise Robotics Center, and built strategic partnerships with Aurora, Nuro, Dexterity, Berkshire Grey, Volvo, and PACCAR. Earlier, she led the global institutionalization of FedEx’s Quality Driven Management operational excellence program, contributing $1B+ in combined revenue growth and cost savings.

She currently serves as an independent director of Columbus McKinnon (NASDAQ: CMCO), Venture Partner at Silicon Foundry (a Kearney company), and strategic advisor to robotics and AI companies — pairing active governance experience with an operator’s perspective on scaling technology, capital investment, and workforce transformation.

Rebecca is recognized for her unique persepctives on Physical AI and enterprise innovation – translating frontier technologies into scalable business value. She frequently shares insights on AI and innovation at forums such as Reuters Momentum, Fortune Brainstorm AI, CES, Automate, HBS Tech Conference, EmTech MIT, and TechCrunch Mobility. In 2024, Rebecca was recognized by Reuters Events as one of the Top 20 Trailblazing Women in Enterprise AI who demonstrated real influence, impact, and leadership in large-scale enterprise AI deployment.