Validated · 45 peer-reviewed studies

Simulate human populations.
Understand real behavior.

AnthroSim generates demographically diverse AI personas and simulates realistic group conversations — with voting, real-time data, and intelligent moderation. At scale.

Request Early Access

Accepting researchers and industry teams for the first cohort.

Validated by peer-reviewed research
Political Analysis · 2023
Out of One, Many: Using Language Models to Simulate Human Samples
Argyle et al., Princeton & Stanford
LLMs conditioned on sociodemographic backstories reliably mirror the complex belief structures of U.S. political subgroups — establishing the empirical foundation for synthetic population simulation.
Nature Computational Science · 2025
Automated Social Science: LLMs as Social Simulacra
Cui et al.
156 psychology and management experiments replicated using LLM agents. Main effects held in the majority of cases — the largest validation of LLM-as-participant methodology to date.
What it produces

Concrete, structured output. Not hallucinations.

anthro-profile --count 1 --guidance "policy researcher"
Generated Profile
Dr. Sarah Chen
Age: 34
Occupation: Public Policy Researcher, Brookings Institution
Personality: Analytical, collaborative, evidence-driven
Political stance: Supports evidence-based climate policy; skeptical of partisan framing
Communication: Asks clarifying questions, cites sources, occasionally dry humor
Values: Scientific rigor, institutional trust, pragmatic compromise
anthro-chat --room climate-policy --subject "carbon pricing"
Simulated Conversation
Dr. Sarah Chen [14:03:21]
Recent EPA data shows a 23% emissions reduction in states with carbon pricing. The mechanism works when implementation is consistent.
Marcus Webb [14:03:45]
That ignores energy poverty effects. My constituents can't absorb another fuel cost increase without direct rebates built in.
Moderator [14:04:02]
Bringing in Dr. Okafor, who has studied distributional effects of carbon markets in lower-income regions...
47 participants · 83 min · Voting: Support 58% / Oppose 27% / Undecided 15%

Profile Generation

Demographically diverse personas with age, occupation, personality, political stance, values, and AI-generated profile pictures.

Conversation Simulation

LLM-powered participation with real-time Kagi data integration, smart moderation, and meeting timers. 10–500 participants.

Voting & Analytics

Personality-driven voting, context-aware decisions, moderator-announced results, full JSON export.

Request Early Access

We're onboarding a first cohort of researchers and industry teams — 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.

No commitment. Pricing finalized at launch.