AI simulation company that models human behavior and lets organizations test decisions against simulated populations
Build foundation models of human behavior that create individual, subgroup, market, ecosystem, or multi-agent simulations. Customers specify a population and decision context, then use the simulation to explore counterfactuals, understand downstream effects, and shape the future rather than merely predict it.
online B2B Deep Tech / Infrastructure
From 20VC with Harry Stebbings — The Best AI Companies Have Unique Data Acquisition Strategies | Simile Co-founder & CEO at 06:38
Problem: Organizations cannot afford the time, budget, or practical feasibility of testing most product, policy, market, or strategy hypotheses in the real world, so they often rely on gut instinct, surveys, or narrow observational data. Simulation provides directional evidence about what people may do, why they may do it, and how a decision could affect the wider ecosystem.
For: Enterprise market-research, insights, strategy, and decision-making teams; potentially governments, scientists, and eventually consumers or other organizations making large-scale decisions.
Products from this video
Examples
- Smallville: a simulated town populated with 25 agents that remembered interactions, planned their days, formed relationships, organized Valentine's Day parties, and decorated a cafe.
Other takes on AI model development
- Retrain small open-source language models for long-horizon agentic workloads and sell efficient inference and on-device deployments
- An open foundation-model company focused on coding and long-horizon software tasks
- Enterprise context and training-data infrastructure for AI applications
- In-database semantic analytics using large database models
- A domain-specific AI product built around private data, specialized models, and purpose-built workflows
- Continually learning AI model provider for enterprises