Simile
Builds AI models that create digital twins of real people, allowing businesses to simulate human behavior on synthetic populations before deploying real-world decisions.
“Simile... Creates AI-driven agentic twins that simulate real consumer behavior for market research.”
“Simile... Creates AI-driven agentic twins that simulate real consumer behavior for market research. Raises $200M Series B.”
“Simile: AI platform for automating communication and collaboration... Third-largest deal ($200M from Greenoaks)”
“Shardul Shah is described by Harry as 'one of the best investors of the last decade' who has backed companies including Wiz. He has never seen traction and pull like Simile's.”
Source→“CVS was mentioned as a Simile customer that moved at 'lightning speed' for enterprise, closing a deal in roughly three months. Jun specifically named their VP of Insights, Sri, as an exceptional counterpart.”
Source→“I think there is a world in which in about two, three years, we're running a single simulation session. And that's going to take 10, $20 million to run a single session. But it's going to be so valuable that people will pay $100 million for it.”
Source→“Simile has raised $300M total — $100M round ~five months ago, followed by a $200M round led by Green Oaks, with Index Ventures (Shardul Shah) as insider and lead of prior round.”
Source→“Simile is building a foundation model of human behavior that can be used to create simulations of individuals, subpopulations, and entire ecosystems. They want models that are biased and fallible in the same ways humans are.”
Source→“Mike Volpe runs his own VC firm (formerly associated with Aster). Led Simile's seed round alongside Shardul Shah. Introduced Jun to Lainey Allen and acted as an operating mentor for Jun as a first-time CEO.”
Source→“Jun Sung Park is Founder and CEO of Simile. Former Stanford PhD researcher and lead of the Smallville generative agent simulation experiment (2023). Michael Bernstein, Percy Liang, and Lainey Allen are co-founders.”
Source→“Simile, the developer of a human behavior simulation model, raised a $200 million Series B led by Greenoaks at a $2 billion valuation.”
Source→“Raised $200M Series B at $2B valuation — signals strong investor conviction in AI-generated research as a replacement for traditional consumer surveys”
Source→“Creates simulated users that help companies test marketing ideas and product concepts before running research with real customers”
Source→“Simile raised $200m in Series B funding at a $2b valuation. Greenoaks led, joined by Definition and insiders Index Ventures, Hanabi, Bain Capital Ventures, A*, Factory, and CVS Health Ventures.”
“Scholars like Thomas Schelling would actually build agent based models that are extremely simple and rudimentary, but that showed something deep about human macro behaviors. And he, of course, went on to win a Nobel Prize.”
Source→“Michael Bernstein, was a researcher and my advisor at Stanford. Both of them were actually my advisors. So the three of us have been working together for five years.”
Source→“It was led by one of my co-founders, Percy Leung, who is now the head of the Center for Foundation Model at Stanford... he sometimes says you look at the greatest scientific innovation — they often start from an amazing measurement.”
Source→“If you look at many of the large language model companies, whether it's OpenAI, Anthropic and many of the new labs that are getting formed, the models they are creating are models that I would consider to be... meant to be rational... supposed to be really amazing at tackling problems that have an objective answer.”
Source→“We have a strategic partnership now with Gallup, for instance, who is a polling and panel company, where we go out, work with our vendors to actually reach out to real humans. So these simulations are grounded in real data.”
Source→“You actually start to see divergence in model size going up and the performance in its ability to predict and simulate human behavior. So we have sort of plateaued with current modeling paradigm, our ability to really simulate humans.”
Source→“The genesis of Simile was a years-long research arc at Stanford, beginning with GPT-3-era experiments and culminating in a validated claim: simulations can predict human behavior with meaningful accuracy.”
Source→“We basically created generative agents that is paired with generative AI model with memory, planning and reflection to basically create this lived experience of agents living in this small town.”
Source→“It was led by one of my co-founders, Percy Leung, who is now the head of the Center for Foundation Model at Stanford... Lead author on the foundational 'Opportunities and Risks of Foundation Models' paper.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.