Scope
Map the decision space: define the options, review the evidence, and identify key constraints shaping the problem.
Simulate & Validate
Test options on synthetic populations from large-scale survey data. Compare outcomes across demographics and validate with human respondents.
Decide
Optimize across trade-offs like efficacy, equity, cost, and feasibility to generate decision-ready outputs grounded in evidence and simulation.
Representative populations
Built from General Social Survey, World Values Survey, European Social Survey, and other validated sources
Custom integration available
Integrate your organization's survey data for tailored agent profiles and scenario analysis
Cross-cultural accuracy
Survey-based agents outperform demographic-only approaches, especially in diverse contexts
Peer-reviewed methods you can trust
Our simulation approach draws on published research in computational behavioral science, with robustness testing, permutation tests, and sensitivity analysis built in.
Built by researchers who set the standard
Our team combines academic leadership in computational behavioral science with real-world policy experience at Stanford HAI, Sciences Po, the OECD, and Cambridge. We don't just use AI methods - we publish them.
Featured Research
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Shirin Abrishami Kashani
Co-founder
PhD candidate in Political Science at Stanford University. Former policy analyst at the OECD. Bridges the gap between research methodology and operational policy needs in public administrations.
Dr. Jonne Kamphorst
Co-founder
Assistant Professor, Sciences Po Paris. Previously postdoctoral scholar at Stanford Human-Centered Artificial Intelligence Lab. Research on LLMs for simulating human behavior.
Keshav Sivakumar
Co-founder
Computer Scientist trained at Cambridge & Stanford with experience building large-scale systems in industry. Responsible for the platform architecture and simulation infrastructure.
Prof. Dr. Robb Willer
Advisor
Professor at Stanford University. Director of the Politics and Social Change Lab, and the AI for Public Benefit Lab. Leading research on AI tools for public sector use.
Tell us about your policy domain
We design around real customer needs and maintain significant flexibility to tailor functionality to different operational contexts and requirements.
