Your market research 100 times cheaper than an agency. Your results in 10 minutes.
AI market research, validated by scientific research. Test purchase intent, pricing, packaging, and messaging with confidence intervals instead of guesswork.
- 🔬 Published method, arXiv 2510.08338
- 📊 Calibrated on real human data
- 📈 Confidence intervals on display
Organic cold brew coffee, €3.90
| Level | Share |
|---|---|
| 1 | 6% |
| 2 | 11% |
| 3 | 18% |
| 4 | 37% |
| 5 | 28% |
n = 1,000
“The price works for me, I'll try it as soon as it drops.”
Mark · 34 · Chicago5/5
“Good idea, I'd have loved a less sweet version.”
Sofia · 28 · Austin4/5
“The packaging is clear, it inspires confidence.”
Karim · 41 · Seattle4/5
A €10,000 traditional study: where does the difference go?
A traditional study pays for panel recruitment, incentives, logistics, and manual analysis. Panelia uses synthetic respondents generated and scored by AI with a published scientific method. The rigor doesn't drop. The production cost does.
Traditional study
€10,000- Panel recruitment45%
- Respondent incentives20%
- Logistics & fieldwork15%
- Manual analysis20%
⏱ 3 to 8 weeks
Panelia
−99%- AI compute
- Published method, identical rigor
- Calibration on human data
- Confidence intervals on display
⏱ 10 minutes
A published method, not a chatbot taking guesses
Panelia elicits purchase intent through semantic similarity, the contribution of a research paper (arXiv 2510.08338). We don't ask the AI for a rating. We measure the nuance of natural-language responses.
- 1
Diverse personas
Hundreds of synthetic respondents, heterogeneous in age, socioeconomic status, region, and attitudes.
- 2
Natural-language response
Each persona reacts to the concept with a verbatim, like a real panelist would, not with a number.
- 3
Likert rating by similarity
We convert the verbatim into an intent rating through semantic similarity to validated anchor phrases.
Continuously calibrated on real human studies
Our synthetic outputs are continuously compared to benchmark human data. We show the gap rather than asking you to take our word for it.
| Human | Synthetic |
|---|---|
| 1.4 | 1.5 |
| 1.7 | 1.6 |
| 1.9 | 2.1 |
| 2.1 | 2 |
| 2.3 | 2.5 |
| 2.5 | 2.4 |
| 2.6 | 2.8 |
| 2.8 | 2.7 |
| 2.9 | 3.1 |
| 3 | 2.9 |
| 3.1 | 3.3 |
| 3.2 | 3.1 |
| 3.3 | 3.5 |
| 3.4 | 3.3 |
| 3.5 | 3.6 |
| 3.6 | 3.4 |
| 3.7 | 3.9 |
| 3.8 | 3.7 |
| 3.9 | 4.1 |
| 4 | 3.9 |
| 4.1 | 4.3 |
| 4.2 | 4.1 |
| 4.3 | 4.2 |
| 4.5 | 4.6 |
| 4.6 | 4.4 |
| 4.8 | 4.7 |
- Synthetic ↔ human correlation
- 0.92
- Error on Top-2-Box
- 4%
- CI coverage
- 94%
- Concepts compared
- 26
Indicative data, version showcase-v1
A real study report, in minutes
From entering a concept to an explorable report: distribution, Top-2-Box, confidence intervals, segments, attributed verbatims, and a reliability score.
Distribution & CI
Intent on the Likert scale, never a number without uncertainty.
Segments
Who buys in and who pushes back, broken down by age, gender, socioeconomic status, and region.
Verbatims & themes
The voice of the market, quoted and attributed to explicitly synthetic personas.
Reliability score
An A/B/C index derived from calibration and panel size.
A committee of models, not a single judge
Your respondents are spread across five AI families (Claude, GPT, Gemini, Grok, Mistral). Less single-model bias, less dependency on one vendor.
- Claude
- GPT
- Gemini
- Grok
- Mistral
Idiosyncratic bias diluted across several models
Robust: if one model goes down, the study continues
Traceable: the model of each answer is recorded
Three ways to stop launching on gut feel
Whether you're a founder, an agency, or a brand, Panelia turns a brief into an evidence-backed decision.
What Panelia does, and what it doesn't
Owning your limits paradoxically strengthens credibility. Here are our guardrails.
What Panelia does
- Screen and prioritize concepts at marginal cost
- Show the uncertainty (CI, reliability score) on every result
- Reproduce intent patterns calibrated on human data
- Let you iterate in minutes, not weeks
What Panelia doesn't do
- Replace fieldwork for a very high-stakes decision
- Present synthetic respondents as real people
- Claim perfect reliability in a category never calibrated
- Hide its biases or limitations
Low pricing, owned and explained
The cost is compute, not a watered-down method. Start for free, scale up whenever you want.
Free
100 trial credits
To explore and run a first study.
- 1 concurrent study
- Segmentation included
- Full explorable report (distribution, CI, verbatims)
- 100 trial credits, no credit card
Starter
Most populari.e. €1,188/yr
1,000 credits / month
To iterate fast, solo or in a small team.
Everything in Free, plus:
- 5 concurrent studies
- A/B/C comparison
- PDF exports
- Up to 3 seats
- Email support
Try it risk-free
No commitment
Start on the free plan, no credit card. Change or stop your plan whenever you want.
GDPR & EU data
Hosting in an EU region, data encrypted and minimized, never resold or used to train third-party models.
Traceable method
Every study freezes model, embeddings, anchors, calibration, and seed, so it replays exactly.