Simile Raises More Than $200 Million at a $2 Billion Valuation to Scale Human Behavior Simulations

Funding Simile Raises More Than $200 Million at a $2 Billion Valuation to Scale Human Behavior Simulations Published July 30, 2026 By Antoine Tardif, CEO & Founder of Unite.AI Add Unite.AI to your preferred sources on Google Founder and CEO: Joon Sung Park Simile has raised more than $200 million in Series B funding at a $2 billion post-money valuation, providing the Palo Alto-based startup with substantial capital to develop artificial intelligence models designed to simulate how people make decisions.Greenoaks led the round, while existing investor Index Ventures increased its backing. Hanabi, Bain Capital Ventures, A*, Factory and CVS Health Ventures (CVS ) also returned, with Definition joining as a new investor. The financing arrives only five months after Simile emerged from stealth with a $100 million Series A led by Index Ventures, taking the company’s disclosed funding beyond $300 million.Since its public launch, Simile says it has increased revenue fivefold, expanded to more than 50 employees and run tens of millions of simulations for Fortune 100 companies. The company plans to use the new funding to advance its foundation model for human behavior, improve the reliability of its simulations and expand the platform across industries including healthcare, financial services, consumer products and media.Building AI to Predict Behavior Rather Than Generate ContentMost of the current generative AI market is focused on creating outputs. Large language models can produce software, marketing copy, images, product concepts and business plans within seconds.Simile is targeting the decision-making process that comes before those outputs are produced. Its platform is intended to help organizations evaluate what they should build, how different audiences may respond and what second-order effects could emerge after a decision is implemented.The company describes itself as building a foundation model for human behavior rather than another general-purpose language model. Instead of optimizing primarily for logical answers or fluent text, the model is being trained to represent differences in people’s preferences, experiences, values and decision patterns.Organizations can use the platform to create comparable scenarios and examine how the same simulated population responds when variables such as pricing, messaging, product features or policy conditions are changed. The aim is not simply to ask synthetic respondents for opinions, but to model how behavior may shift across multiple conditions and over time.From Stanford Research to an Enterprise Simulation PlatformSimile’s technology builds on research conducted by co-founder and CEO Joon Sung Park and fellow Stanford researchers Michael Bernstein and Percy Liang.Park was the lead author of the 2023 “Generative Agents: Interactive Simulacra of Human Behavior ” paper, which introduced a simulated town populated by 25 AI agents. Each agent used a memory stream alongside retrieval, reflection and planning mechanisms to maintain context and determine its next actions.The agents formed relationships, developed routines and coordinated activities without every interaction being explicitly programmed. The experiment helped establish many of the architectural i