Explore Our Environments
Foundation, Signal, and Sovereign match the simulation to your data reality: public truth, social behavior, or private first-party context.
Choose an EnvironmentCompanies make high-stakes product, pricing, and strategy decisions with research that often arrives after the decision has already hardened.
Standard Agency-Led Research
6 weeks*
Completion time
Average from brief to final delivery
$10,000*
Cost per study
Recruitment, incentives, and analysis
Exponential
Iteration cost
Each additional round multiplies spend
* Starting at averages where actual figures vary by scope
Every launch, message, price, and product bet is an experiment. We let teams rehearse those experiments with synthetic people before they reach the real world.
Simulation Backed Research
6 weeks
Completion time
From question to directional insight
$10,000
Cost per study
Fractional costs with rapid insights
Logarithmic
Iteration cost
Cost flattens as you iterate more
* Starts at — varies by cohort size and complexity
From decision to rehearsal to signal
A repeatable workflow for finding directional evidence before committing to the real world
Define the Decision
Start with the choice you need to make: which concept to fund, message to ship, audience to prioritize, or market risk to understand.
Research Objective
Which launch message should we fund before the next round of fieldwork?
Generated Questions
Q1Which promise feels most credible...
High
Q2What would stop you from trying...
High
Q3Which proof point changes your mind...
Med
Q4Where should we validate next...
Med
Where synthetic research fits
Use synthetic audiences before the expensive step: when the team has options, assumptions, or open questions and needs a fast read on what deserves more investment.
- Campaign Testing: Screen creative concepts, messaging, and offers before media spend
- Brand Positioning: Compare promises, proof points, and category language across audience segments
- Decision Rehearsal: Understand likely objections and tradeoffs before leadership commits
- Product Prioritization: Identify which features and benefits matter most to different segments
- Research Planning: Narrow hypotheses before investing in recruitment-heavy research
Environment Inputs
FoundationPublic datasets for representative population and category questions
SignalSocial and cultural behavior for live-market context
SovereignApproved proprietary data for private, client-specific environments
From culture to simulation
Social and public signals help environments understand the world people are reacting to: category language, emerging concerns, cultural references, competitor perception, and visible behavior.
- Sentiment Context: Understand how audiences talk about your brand, competitors, or category
- Trend Identification: Spot emerging topics and conversations before they harden
- Competitive Intelligence: Model how alternatives appear in the same decision context
- Persona Enrichment: Feed real behavioral signals into synthetic simulations
Data Sources
Validated, with boundaries
Our synthetic personas are benchmarked against General Social Survey and Pew Research sources across age, education, income, and geography.
The reported 87% parity is a directional validation signal. We use synthetic research to augment traditional methods, sharpen hypotheses, and decide what should be tested next.
Leaving Generic LLMs in the Dust
Proportional allocation accuracy across PEW and GSS survey replications
Frequently Asked Questions
Common questions about synthetic research and how it fits into your workflow.