BUILD YOUR
WORLDBUILD YOUR
WORLDBUILD YOUR
WORLD
TEST INFINITE
IDEASTEST INFINITE
IDEASTEST INFINITE
IDEAS
Create virtual worlds with thousands of AI personas. Test any scenario you imagine.
The Validation Gap
"We built it, but nobody wanted it." — 90% of startup failures
Cost Barrier
Hiring a professional research firm costs at least $10k+. A heavy burden for agile teams.
Time Consuming
Recruiting and analysis take 2-4 weeks. By then, the market trend has already shifted.
Data Reliability
Low response rates, insincere answers, and lack of true representation lead to unreliable data.
The time is now
LLMs are now powerful enough to embody detailed personas. WorldClone combines thousands of diverse personas with statistical analysis to simulate real markets.
Process Overview
Market validation in 3 steps
Worlds
Build World
Create virtual worlds with diverse personas. Combine age, job, personality, and values to build the exact group you need.
- 10,000+ persona presets
- Demographic-matched sampling
- Auto-calculated diversity scores
- Edge case detection
Console
Simulate
Run concept, pricing, and onboarding tests in batch across your AI panel. Collect thousands of responses quickly.
- Batch test execution
- Time-axis simulation
- Segment-specific questions
- Real-time results
Signals
Analyze
Transform qualitative feedback into quantitative insights. Get opinion clustering, sentiment analysis, and key objections.
- Key objection extraction
- Segment difference analysis
- Feature priority ranking
- Actionable suggestions
Distance from Average Distribution
Visualize how much each persona deviates from the average. This distribution shows your world's diversity.
Why Simulation?
Experiment beyond reality
The fastest and safest way to validate ideas before meeting real users. WorldClone Lab is your partner in hypothesis validation.
Extreme Diversity
Not just average AI. Personas reflecting the full complexity of the real world find unexpected edge cases.
Overwhelming Speed
Shorten weeks of recruiting and interviewing. Validate your ideas the moment they strike.
Risk-Free Experiments
Failure is an option here. Test bold pricing or controversial messaging without risking your brand reputation.
Use Cases
Teams of all kinds use WorldClone
Product Managers
Prioritize features based on user demand and identify onboarding friction early.
Growth Teams
Test messaging effectiveness and predict which value props convert.
UX Researchers
Validate hypotheses before interviews and identify segment differences.
Brand Teams
Test positioning and copy, discover perception conflicts before launch.
Create Virtual Worlds
Build worlds with diverse personas
World creation settings
K-Beauty Early Adopters World
Women 20-35, high beauty interest, active online shopping
Total
500
Diversity
72.0%
Distance
58.0%
✓ Created: 500 unique personas generated based on your parameters. You can now run simulations in Console.
Run Scenarios
Execute simulations with your questions
Scenario setup
How much would you pay for this product?
What matters most to you at this price point?
Live run status
Click the 'Run simulation' button to start the virtual world.
Analyze Insights
Discover meaningful patterns from collected data
Overall sentiment
Purchase Intent
Share of simulation personas with positive purchase intent
Derived optimal price
42% of respondents chose this
Optimal point considering profitability and conversion
Opinion Clustering (AI Segmentation)
Discover hidden needs and support decisions through segment-level clustering, not simple averages.
Price-sensitive
Ingredient-conscious
Image-driven
Recommended actions
Keep main product at ₩49,000; launch mini (₩29,000) for 20s to lower barrier
Place 'EWG Green' certification and full ingredients at top of product page
Allocate 70% of initial ad spend to 30s working women with highest PMF score
Start Now
Experiment with infinite scenarios in your virtual world. Decide faster.
Data Ethics
- We simulate population distributions, not individuals
- Synthetic results are decision support tools
- All outputs are labeled as synthetic data