ARES — Automated Risk Estimation — is the flagship AI platform built by 📝CulturePulse, the company I founded. It constructs psychologically realistic 📝digital twins of target populations and audiences, simulating not just demographics but the beliefs, values, emotions, and motivations that drive real human behavior. Rather than modeling people as statistical averages, ARES renders them as agents with rich interior lives, each carrying dozens of attributes that shape how they perceive, react, and decide.
The platform's most ambitious demonstration was a model of the Israeli–Palestinian conflict built for the United Nations: roughly fifteen million agents, each defined by more than eighty psychological and social attributes. At that scale, ARES becomes a laboratory for understanding how interventions, narratives, and shocks ripple through a population before they ever touch the real world. It has been used alongside the UN and a range of academic and government partners for conflict analysis and audience analysis — work where getting the human dynamics wrong carries real cost.
What ARES is for, in short, is foresight. It lets decision-makers test how a population might respond to a policy, message, or escalation, grounded in psychology rather than guesswork.
I built ARES because I was tired of social models that treated people as numbers. The questions that matter most — about conflict, division, and persuasion — are fundamentally questions about minds. If we can simulate minds faithfully, even imperfectly, we can ask better questions and avoid more harm. That conviction is what keeps me building it.