Market intelligence
at operational speed.

Deploy calibrated personas. Run surveys. Analyze in minutes—not months.

10,000 Personas
<4 min To insight
95% Correlation

Validated by leading institutions

Harvard Business Review Wharton School EY Columbia University Dartmouth Qualtrics

Why simulation changes everything

Traditional research creates institutional friction. Simulation removes it.

6–8 weeks

Traditional latency

Market windows close. Budgets reallocate. Competitive advantage evaporates.

$15k+

Typical study cost

Iteration becomes prohibitive. Questions must be finalized upfront.

200

Average sample size

Statistically weak. Demographically incomplete. Expensive to scale.

OpenCarlo transforms every constraint

Dimension Traditional Panels OpenCarlo
Time to insight 6–8 weeks <4 minutes
Cost per study $15k–50k From $49
Sample size 200–500 10,000 personas
Iterations 1 per cycle Unlimited
Privacy Real PII Zero PII

Three-phase execution

Monte Carlo methodology. Institutional rigor. Operational deployment.

01

Population Definition

Specify demographics, psychographics, firmographics. Build archetypes aligned to your research.

02

Parallel Simulation

Deploy 10,000 calibrated personas with distinct behavioral patterns, biases, communication styles.

03

Statistical Inference

Distributions, cross-tabulations, significance testing. Boardroom-ready confidence intervals.

Foundational rigor: Peer-reviewed Monte Carlo methodology. Applied across DoD, aerospace, pharmaceutical risk modeling. 99.7% statistical confidence. Dartmouth PNAS 2025 validation.

Tested against reality

Validated by leading institutions and researchers.

EY × Evidenza — Blind Validation Study, 2024

"EY constructed 1,000 synthetic CEO personas alongside Evidenza. Results matched real survey data across 47 questions with 95% correlation—produced in days, not months."
1,000Personas
47Questions
±5 ptsMax deviation
95%

Correlation to reality

EY + Evidenza CEO sentiment study

Cited by

  • Harvard Business Review
  • Wharton School
  • Columbia University
  • Dartmouth PNAS 2025
71%

of researchers believe synthetic data will constitute the majority of collection within 3 years

87%

satisfaction rate among researchers who have used synthetic responses

73%

of market researchers have already incorporated synthetic data into active projects

Statistical outputs

From simulation to insight. Boardroom-ready analysis.

Response Distribution

Correlation Matrix

Demographic Breakdown

Confidence Intervals

Fully realized individuals

Not averages. Not archetypes. Complete profiles with behavioral patterns and communication styles.

What researchers report

After making the switch to simulation.

"We ran a pricing sensitivity study on Friday afternoon. By Monday we had results for the board. That would have taken six weeks before."

Sarah Chen, Head of Research, Enterprise SaaS

"I was skeptical until the 95% correlation data. We ran identical studies with a real panel and with OpenCarlo. The delta was within statistical noise."

Marcus Williams, Research Director, Consumer Tech

"The ability to run 50 ad copy variants simultaneously—at the cost of testing one variant traditionally—changed how our creative function operates."

Priya Nair, VP Marketing, E-Commerce

Begin your first simulation

The $140 billion market research industry is transforming. Teams who begin now hold material advantage.

Private beta. Limited spots. Response within 48 hours.