We Simulated the U.S. Population
Turn millions of complex public data points into a conversation.
Gain instant population insight through a natural language
interface and synthetic personas.
Public data, finally usable
We replaced the database queries with a natural language interface.
No technical skills required
Work with structured U.S. public data that reflects real conditions. No complex setup and no specialist teams required.
Explore the population at any level
Move easily between national patterns, regional differences, and local insight without switching tools or views.
Test ideas in real time
Ask questions, explore reactions, and follow up instantly instead of waiting for surveys or reports.
Designed for trust and privacy
Built without personal or identifiable information, so insight stays responsible and safe to use.
Complex data, made conversational
Public data is often difficult to access without technical skills.
We changed that.
Whether you are researching a new policy or checking market fit, you don't need to navigate complex databases. Just type your question like you're asking a colleague, and the platform finds the insight you need.
From population to person
Working with population data usually requires trading scale for detail.
We let you maintain both.
Start with a nationwide query to identify broad trends, then zoom in to specific regions, and finally, generate synthetic personas to understand the human behavior behind the statistics.
National patterns
Identify macro-trends across the entire country instantly.
Regional variation
Compare how sentiments and data differ across states and counties.
Persona-level simulation
Interact with synthetic personas to test how decisions affect specific people.
Validate ideas in conversation
See how our synthetic personas respond in real-time conversations.
Bonnie Morris
62 • Michigan • Semi-retired Interior Designer
We're deciding how to explain a healthcare proposal to older residents. Which part would concern you more: changes to monthly costs or changes to how coverage works?
Bonnie
Changes to how coverage works. Costs matter, but uncertainty is harder to manage when you're planning ahead.
If the proposal lowered costs but required switching providers, how would that affect your support?
Bonnie
I'd be less supportive. Switching providers feels disruptive, especially when you've built relationships over time.
Which message would feel more relevant to you? A. "Lower monthly costs starting next year" B. "Stable coverage you can plan around"
Bonnie
The second one. It shows an understanding of long-term planning, not just short-term savings.
Would that message change how seriously you consider the proposal?
Bonnie
Yes. It tells me the policy was designed with people like me in mind.
Define your audience
Generate a statistically accurate audience in seconds using your website or your own specifications.
Auto-discovery
We analyze your website to understand who you serve. The system creates corresponding synthetic personas and develops a marketing strategy to help you engage with them effectively.
Custom exploration
Use your own criteria as the source. Tell us who you want to simulate. We construct synthetic personas based on your specific demographic or behavioral requirements.
Use cases
Built for people who need data before making decisions.
Public Administration
Access public data quickly, explore policy outcomes, and support decisions without needing specialist teams.
Researchers
Explore questions, test assumptions, and shape research direction using public data.
Politics
Understand voter concerns, test policy ideas, and plan outreach using population insight grounded in public data.
Marketing
Refine messaging, understand audiences, and plan campaigns with greater confidence across regions and groups.
Product Managers
Test assumptions early, explore trade-offs, and make product decisions with fewer unknowns.
Creators and Influencers
Understand how content may land across different audiences before publishing.
Stop waiting on surveys
Get population insight in minutes
from public data and synthetic personas