Suprematic
World simulation for business decisions

Simulate the world.
Get one step ahead.

Suprematic builds simulated populations grounded in real-world behavior, world events and outcomes. Build and test chains of simulations to understand your trajectories, risks and future consequences at scale.

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For brands, consumer companies, enterprises and legal teams.
Grounded in real data

Real data at its backbone.

Every agent in a Suprematic simulation is synthetic. The behavior it carries is not invented. We source real public and licensed data for each engagement, reconcile it, and extrapolate a population that behaves like the one you serve. Your own customer data narrows it to the decision at hand.

  1. 01 · Source Real records, sourced per case Public data on population, work, health, prices and place, plus licensed data such as anonymized transactions, store-visit patterns, search demand and media use. PublicLicensedYour customer data
  2. 02 · Reconcile No source used raw or alone Each source is weighted against the others. Where they agree, the signal strengthens. Where they disagree, it is flagged instead of averaged away.
  3. 03 · Extrapolate A population that holds together We learn how traits move together, such as age, income, habits and channels, then sample complete synthetic people from that network. No source record ever becomes an agent.
  4. 04 · Validate Checked against what people did Results are tested against real outcomes held back from training. Where the evidence runs thin, the report says so.
01ObjectivesThe decision under review, what success means, and the limits the report must respect.
02AudiencesEach becomes a population of agents whose traits move together, from broad to hard to reach.
03QuestionsChoice, ranking and free response, with stimuli and hypotheticals, run against every audience.
04ArtifactsInteractive results by audience, down to every future the decision can branch into.