052 - Agent-Based AI & Nation-Scale Digital Twins: Future Decision Making w/ John Cordier, CEO, Epistemix

Episode notes

What if governments and companies could run simulations to test policy, forecast epidemics, or predict product adoption — before making a single decision? In this episode of Pitch, Build, Scale, host Chris Fanchi sits down with John Cordier, CEO of Epistemix, to explore how digital twins and agent-based simulation are reshaping the way organizations understand human behavior and forecast change. Epistemix’s platform builds synthetic populations — nation-scale digital twins that help health systems, pharma brands, and governments model complex societal scenarios from pandemics to consumer trends. Their work helped reopen the global events industry months ahead of schedule during COVID and is now redefining how data science teams simulate real-world systems at scale. John shares how Epistemix is bridging public health, AI, and behavioral economics, using LLMs to generate models faster, reduce time-to-value from months to a week, and make simulation accessible for both data scientists and decision makers. If you’ve ever wondered what “SimCity for the real world” looks like, this is it.