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.
🕒 Chapters
00:00 Intro — From AI Agents to Faster Simulations
01:42 John Cordier’s Origin Story and Epistemix’s Founding
06:34 What Is a Digital Twin and How It Works
10:00 Why Pharma and Insurers Are Adopting Simulation
12:36 How Epistemix Helped Reopen the Global Events Industry
15:39 Using Data to Drive Better Decision Making
18:09 Integrating LLMs and AI to Reduce Time-to-Value
21:19 AI, Policy Modeling, and Empathetic Decision Making
25:59 The Future of Simulation in Health and Consumer Markets
28:55 What Success Looks Like in the Next 12 Months
31:41 Making Agent-Based Simulation as Accessible as ChatGPT
33:36 Where to Connect with John Cordier and Epistemix
🔗 Resources
🌐 Epistemix — https://www.epistemix.com
💼 Big North Marketing — https://www.bignorthmarketing.com
💬 Work With Chris & Big North Marketing
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