
Artificial Societies
AI-powered audience simulations for testing content and ideas.
Date | Investors | Amount | Round |
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investor | €0.0 | round | |
investor | €0.0 | round | |
* | $5.3m | Seed | |
Total Funding | 000k |
Artificial Societies is a San Francisco-based software company, founded in 2024 by James He and Patrick Sharpe, that has developed an AI-powered platform to simulate human societies and predict collective behavior. The company provides tools for behavioral modeling, real-time audience simulation, and predictive content testing. This allows clients, including startups, marketers, and policymakers, to forecast real-world outcomes of marketing campaigns, product pitches, and content before they are launched.
The platform functions by creating collectives of AI personas, which are built using data from public sources to reflect authentic human behaviors, preferences, and motivations. It retrieves relevant profiles from a database of over 500,000 personas and models their interactions through a social network graph. Clients can select a context, such as a social media post or product proposition, and the platform runs a multi-agent simulation to show how the personas react and influence each other. The service is offered through a freemium model, with free credits to start, followed by a Pro subscription for unlimited simulations.
The founders, both behavioral scientists, created the company to address the shortcomings of traditional market research, which they view as slow, expensive, and fails to capture the social influence between people. CEO James He has a background in computational social science from Cambridge University and previously built lending machine learning systems for the credit card startup Yonder. Patrick Sharpe, who leads product, has a master's in behavioral economics and has run numerous real-world experiments for businesses, including Fortune 500 companies, and scaled the client-base at a behavioral science consultancy. The company is a Y Combinator (W25) participant and has received $500K in a seed funding round from investors including Y Combinator, Kindred Capital, and Basis (VC).
Keywords: AI-powered simulation, predictive content testing, behavioral modeling, audience simulation, multi-agent systems, computational social science, market research, social influence analysis, AI personas, content strategy, message testing, campaign forecasting, product launch simulation, Y Combinator, James He, Patrick Sharpe