Joon Sung Park
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The AI Company Simulating the Entire Economy | Simile Co-founder & CEO, Joon Sung Park
Joon Sung Park, Harry Stebbings
Simile, founded by Joon-Sung Park alongside AI luminaries Michael Bernstein and Percy Liang, has secured $300 million in funding to build a "simulation market" that predicts human behavior by modeling irrationality rather than super-rationality. The company recently validated its synthetic panels with 85% accuracy, enabling Fortune 500 clients like CVS to test counterfactuals at a fraction of traditional market research costs while aiming to generate single-session values of $100 million. By prioritizing behavioral data over self-reported metrics, Simile distinguishes itself as the "GPU of intelligence units" designed to scale representation of collective society for enterprise decision-making.
- RAISE Summit20 min
Indexing Humanity: A Fireside With the Simulation Company | Simile | RAISE Summit 2026
Joon Sung Park, Sahir Azam, Jun
Simile, founded by former Stanford researchers including CEO Jun, has launched a foundational model of human behavior that replicates individual subpopulations with 85% accuracy for enterprise clients like CVS and Fortune 500 companies. Leveraging strategic partnerships with Gallup and Dynata to access a 20-million-person data panel, the company differentiates itself by prioritizing human imperfections and biases over pure algorithmic efficiency to augment corporate decision-making in market research and product development. Supported by Index Ventures, Simile operates on a four-stage simulation hierarchy ranging from individual dynamic testing to society-wide forecasting, while adhering to strict ethical principles regarding data consent and transparency.
- Sequoia Capital39 min
Simulating Humans at Scale: Simile's Joon Sung Park
Founded by Stanford alum Jun with co-founders Percy Liang and Michael Bernstein, Simile is an applied AI lab that has transitioned from the experimental "Smallville" project to a commercial platform capable of simulating complex human societies. By combining proprietary behavioral data with foundation models, the company validates its SaaS service with an 85% prediction accuracy against real-world self-reports, allowing enterprises like CVS to test strategic decisions without the cost of live field trials. This approach leverages specific statistical metrics and reinforcement learning to bridge the gap between attitudinal data and actual behavior, offering a scalable alternative to traditional polling for forecasting long-term market and societal impacts.