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Extropy builds representative synthetic populations and simulates how they react to real-world events. Every agent reasons individually from their own finances, job, commute, politics, and social network. We just published two studies: simulating Americans through a US-Iran war, and predicting the 2026 House midterms benchmarked against Kalshi. Open source. Define a scenario, build a population, run the simulation.see more

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About

Imagine having the power to model the complex ripple effects of any major event across a realistic, dynamic society. That's the core promise of Extropy, an open-source simulation engine designed to bring complex societal reactions to life. This isn't just abstract modeling; Extropy constructs detailed, synthetic populations where every individual agent operates with its own unique profile—their personal finances, daily commute, political leanings, employment status, and social connections all feed into their decision-making process. When you introduce a significant real-world event, whether it's a geopolitical shift like a major international conflict or a domestic policy change, Extropy simulates the authentic, emergent reactions of millions of people reacting based on their individual circumstances. This level of granularity allows researchers, policymakers, and strategists to move beyond simple predictions and truly understand the cascading consequences of their decisions or external shocks on the fabric of society, offering unparalleled insight into potential outcomes and vulnerabilities.

What sets Extropy apart is its commitment to transparency and rigorous validation. This engine isn't a black box; it’s fully open source, inviting collaboration and scrutiny from the developer and research communities. We have already put this technology to the test with compelling results, including detailed simulations tracking how the American population might react to scenarios like a US-Iran conflict, and perhaps most impressively, its predictive capability in political forecasting. Our recent work benchmarking the engine against real-world prediction markets, such as forecasting the 2026 House midterms using Kalshi data, demonstrates its accuracy and reliability in capturing nuanced human behavior at scale. For anyone needing to stress-test strategies, understand behavioral economics, or build better predictive models, Extropy provides the ultimate sandbox environment.

Getting started with Extropy is straightforward: define your scenario, construct the representative population that reflects the demographics and conditions you wish to study, and then launch the simulation. The output provides rich, actionable data on how different segments of the population will respond over time. Whether your focus is on economic stability, public sentiment tracking, infrastructure resilience, or political forecasting, Extropy offers a powerful, ethically grounded tool for exploring the 'what ifs' of our interconnected world. It transforms abstract planning into data-driven foresight, enabling you to anticipate behavioral shifts before they become reality.