Traditional AI tells you what happened. But the real challenge is understanding why people behave the way they do.

Co-founder & CEO
Basel, Switzerland
As former Executive Director and Global Head of Behavioral & Data Science at Novartis, Antoine pioneered the integration of AI with behavioral insights to drive ethical decision-making, work which directly contributed to the resolution of one of the pharmaceutical industry's most significant compliance cases.
His work has been published in MIT Sloan Management Review, Harvard Business Review, and Gartner, amongst others.
Antoine is also President of the Behavioral AI Institute, a non-profit dedicated to ensuring AI is informed by deep knowledge of human behavior.

Co-founder & CTO
Burlington, United States
Pierre previously co-founded BentoBox, where as CTO he scaled the platform to serve thousands of restaurants. The company was acquired by Fiserv (NYSE: FI) in 2022, where he continued as CTO of Restaurant Solutions.
With nearly two decades building technology companies, from early-stage startups to enterprise systems, he knows what it takes to turn ambitious ideas into reliable, production-ready platforms that work at scale.
We believe in the emergence of Behavioral AI: where behavioral science and artificial intelligence converge to transform how we understand human behavior. Language is where psychology meets AI, revealing not just what people say but how they say it. Thus, we build on the semantic capabilities of advanced AI models to scale expert research methods and rigorous science in unprecedented ways. We're using AI as a catalyst for more human-centered insights: We democratize behavioral expertise, making human experience and insight central to decisions at every level.
Innovation in healthcare and beyond fails not because people don't know what to do, but because we don't understand how to help them get there. Leaders don't need more evidence of what theoretically works. They need to know how to get people to follow through. We built lumenx to bring behavioral science to scale, so teams can identify the real barriers to innovation: from medication adherence to program adoption, clinical trial retention to behavior change at scale.