Greenwich, Conn. – – September 22, 2026 -- Hunt Scanlon Ventures, an M&A advisory firm focused on human capital markets, has completed an investment in millionways, a New York-based AI lab building what it calls a behavioral intelligence layer for artificial intelligence systems.
millionways built a proprietary Large Psychology Model to decode human behavior
The company's platform, Thorsten-4, is designed to interpret human signals, motives, communication patterns and behavior for use in AI governance, executive hiring, talent management, leadership assessment and broader enterprise settings. Thorsten-4 draws on more than a decade of proprietary psychological research and 35 million tagged words of behavioral data, according to the company, which is led by co-founders Martin Cordsmeier and Max Weidemann.
Hunt Scanlon frames behavioral intelligence as new AI infrastructure
"As investors, we see behavioral intelligence as a new layer of AI infrastructure, giving artificial intelligence a missing layer—the ability to interpret the human dynamics behind communication and decision-making," said Scott A. Scanlon, CEO and co-founder of Hunt Scanlon Ventures.
Max Weidemann, co-founder and CTO of millionways, said the technology aims to give AI systems a scientifically grounded and explainable understanding of human motives, behavior and context as humans and AI agents increasingly work side by side.
Technology already applied across executive hiring and succession planning
millionways' platform is currently deployed in the human capital sector, with applications spanning executive hiring, leadership assessment, succession planning, talent management and organizational decision-making. Hunt Scanlon Ventures said the ability to translate human behavior into structured business intelligence represents an enterprise value lever rather than a marginal efficiency gain.
Investment fits broader strategy of backing AI-powered talent platforms
The deal reflects Hunt Scanlon Ventures' wider approach of backing data-driven, AI-powered platforms that reshape how organizations assess talent and leadership. Scanlon said that as foundational AI models become commoditized, the ability to understand the human context behind an interaction becomes more valuable rather than less.