Our recent research with Ernst & Young on the accuracy of simulation.READ MORE

Rendering human granularity.

Simulate any decision.

Aaru simulates entire populations to predict the world's events. Welcome to the new age of decision dominance.

We're building simulation software that recreates the world using a multi-agent approach.

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  • If the premium version you were planning to buy increased in price by 20%, would you still choose the premium option?
  • What is the minimum amount of information you'd need about a down-ballot candidate to feel confident voting for them?
  • How do different evacuation communication strategies perform across income levels and language groups during a natural disaster?
  • If a prominent political figure were to endorse a candidate in your district, would you be more likely or less likely to support that candidate?
  • Do you feel any pressure from friends, family, or colleagues to try or adopt this type of product?
  • How likely would you be to click on each of these marketing messages to learn more about the product?
  • If the 2026 midterm election was held today, who would you vote for?
  • What is the expected adoption rate of a national digital identity program among citizens over 65 in rural regions?

In an external validation study, Aaru recreated EY's Global Wealth Research Report overnight — a study that took EY six months. Our results were highly correlated, but more importantly, where they diverged, Aaru was more accurate.

READ THE REPORT

We’re a small team working at the frontier of multi-agent simulation, behavioral modeling, and applied AI solving the world’s oldest problem.

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