Simile lands $100M for human simulations
Simile has emerged with a $100 million Series A led by Index Ventures and is positioning its platform as a way to simulate how real people respond to products, policies, and other decisions before organizations deploy them in the real world. The company says its system builds high-fidelity AI agents grounded in real human behavior and is already being used for customer research, policy testing, and scenario planning.
Simile is pitching a much bigger idea than synthetic market research: a foundation model for forecasting human decisions at scale. If it works beyond narrow enterprise use cases, it could become a new layer of decision infrastructure for product, policy, and strategy teams.
- –The company is emerging with unusually large backing for a still-nascent category, which signals strong investor appetite for AI simulation beyond chatbots and copilots
- –Simile ties its credibility to prior research on generative agents and claims high-accuracy human-response simulation, making validation the core question for buyers
- –Early customer references like CVS Health, Wealthfront, Gallup, Itaú, and Suntory suggest the initial wedge is enterprise decision support rather than consumer AI
- –The most interesting angle for developers is the shift from LLMs that generate text to models that forecast behavior, which could open new tooling around experimentation, segmentation, and scenario analysis
- –The risk is obvious too: once you start modeling customers or populations with digital twins, questions around bias, representativeness, and overconfidence become product-critical, not academic footnotes
DISCOVERED
36d ago
2026-03-07
PUBLISHED
36d ago
2026-03-07
RELEVANCE
AUTHOR
Wes Roth