Validate your product ideas overnight
— for the price of lunch.
Get human-level purchase intent data in minutes, powered by peer-reviewed AI that replicates real focus groups with 90% accuracy.
No surveys. No panels. No delays.
Science, Not Hype
Built on research that's actually been published — not “AI magic.”
Powered by Semantic Similarity Rating (SSR), a peer-reviewed method developed by PyMC Labs and Colgate-Palmolive in 2025.
SSR Methodology
SSR allows large language models to replicate human purchase-intent ratings by analyzing open-ended responses and mapping them to a 5-point Likert scale — with proven statistical precision.
Peer-Reviewed Research
Published methodology with academic validation
Enterprise Tested
Developed with Colgate-Palmolive research teams
Statistically Rigorous
Validated across 9,000+ survey participants
Research Citation
“LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings.”Maier et al., 2025 — Published October 9 2025.
How It Works
Get statistically representative consumer data in three simple steps — no recruiting, no panels, no waiting.
Describe your concept
Paste your product description or upload a mockup. Optionally choose a target persona such as “Gen Z budget shopper” or “eco-conscious parent.”
Simulate realistic consumers
SimuPanel prompts AI personas to respond naturally — producing hundreds of purchase-intent statements as if you ran a real focus group.
Quantify intent with SSR
Each response is converted to an embedding vector and compared against calibrated anchor statements. The result: a realistic Likert-style distribution that mirrors human survey data.
Consumer data, without consumers.
Get the insights you need in minutes, not weeks. No need to find participants, schedule sessions, or wait for results.
Results You Can See
Know not just what consumers think — but why.
Every simulation returns a complete Likert distribution plus the “why” behind the ratings.
Purchase Intent Distribution
KS-similarity: 0.88
Sample Synthetic Feedback
“I'd probably try this — especially if it's affordable.”
“The eco-friendly angle appeals to me.”
“Sounds innovative, but I'd want proof of effectiveness.”
“This could solve a real problem I have.”
“Not sure if it's worth the price point.”
What You Get
- Complete Likert distribution with statistical significance
- Qualitative insights explaining purchase decisions
- Demographic breakdown by persona
- Exportable data for further analysis
Under the Hood
The process behind every simulation — for teams who care how the data's made, not just what it says.
Generate Realistic Responses
Persona-conditioned prompting produces natural consumer statements.
Implementation Details
Encode Semantic Meaning
High-dimensional embeddings capture semantic similarity and context.
Implementation Details
Map to Likert Scale
Calibrated anchor statements yield realistic purchase-intent distributions.
Implementation Details
Every step of the process follows three core principles:
Transparent
Open methodology with published research papers and validation studies.
Reproducible
Consistent results across runs with documented parameters and settings.
Responsible
Built and tested with strict data-privacy and ethical-AI practices — no personal data collection, ever.
Use Cases & Who Benefits
Research-backed consumer insights for teams who need statistically significant data, not guesswork.
Use Cases
Product Validation
Quantify purchase intent before manufacturing investment. 90% accuracy vs. human panels.
Creative Testing
Measure message resonance and creative appeal with statistical significance.
Research Scaling
Screen concepts at scale. Prioritize human research based on SSR-powered rankings.
Who Benefits
Founders
Quantify product-market fit before investing in inventory or ads. Validate ideas with real purchase-intent simulations in minutes.
Marketers
Measure message resonance and creative appeal using simulated consumer data. Optimize campaigns before launch.
Agencies
Pre-screen creative concepts and back client reports with data-driven validation. Deliver research-grade insights fast.
Researchers
Scale testing without panels or recruiting. Prototype surveys and rank concepts with SSR-powered accuracy.
Coming Soon: Simple, one-click pricing
Join our waitlist to be the first to access SimuPanel when we launch.
🧪 Single Test
Run one simulation with 100 synthetic responses. Perfect for quick validation or product testing.
⚙️ 5-Pack
Run five simulations. Best for testing multiple concepts or campaigns.
🚀 20-Pack
Run twenty simulations. Ideal for teams or researchers running frequent tests.
Be the first to know when SimuPanel launches.
Join our waitlist for early access and exclusive pricing.
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Frequently Asked Questions
Everything you need to know about how SimuPanel works — and why it's different.
SimuPanel doesn't guess — it measures.
Get your first validated insights today.
Make confident, data-backed decisions — in minutes, not months.
SimuPanel uses validated AI and peer-reviewed science to simulate real consumer behavior — instantly.
Backed by peer-reviewed research — powered by Semantic Similarity Rating (SSR).