Profile Generation
Personas built from harmonized survey and population data, with beliefs they actually hold.
AnthroSim profiles are built on a proprietary quantitative grounding model. Each profile is derived from harmonized human survey and population data, with contextual signals layered in from the person’s environment, profession, and life circumstances. A persona’s economics, politics, psychology, and behavior hold together the way a real person’s do.
Example input: 10 profiles · Guidance: “urban professionals with views on housing policy”
Each generated profile reflects:
- Population-grounded demographics: sampled from real survey distributions
- Multi-dimensional political modeling: independent stances across policy dimensions that don’t collapse into a single left/right axis
- Economically consistent life circumstances: occupation, financial situation, and material security that hang together
- Behavioral depth: psychological parameters that govern how a persona responds to arguments, evidence, and pressure in conversation
- Narrative grounding: a personal history that anchors behavior beyond surface traits
Three things set these profiles apart from prompt-written personas:
- Held beliefs, held honestly. Opinions listed on a card are cheap. A persona here holds its position the way a person does, and moves only when genuinely persuaded. How firmly each one holds on is grounded in how real people behave, so every room has its share of movable and immovable participants.
- Reading matched to the person. Two people never take the same thing away from the same document. Neither do two of our personas. Dense material lands differently across the room, the way it does in real life.
- Crowds that add up. A generated cohort matches the population it represents, and it can be tilted toward a segment or scenario while staying representative. The limits are known, and enforced.
Example profile, for illustration. Production profiles carry far more internal detail than the compact cards shown on the site.
What AnthroSim delivers: generate, organize, and deploy persona cohorts in directed conversations. Generated profiles drive simulation behavior internally; they are not exported as standalone data artifacts by default. The same cohort can be run against multiple topics or experimental conditions with full reproducibility.
Profile data export, including underlying model parameters and individual profile internals, is available under commercial license. Contact us to discuss access.
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We're onboarding a first cohort: academic and applied researchers, market research firms, enterprise AI and product teams, law firms, and policy organizations.
Early access participants receive preferred rates and priority onboarding.