Simulate thousands of real-profiled consumers across European markets. Know your risk before a single customer is affected.
Live now: United Kingdom, Germany, France, Netherlands, Romania
Expanding to all 27 EU markets + Norway, Switzerland. Each market is built on real census data, national surveys, and native-language simulation.
No panels. No waiting. Real statistical accuracy validated against national survey data.
Choose from 5 live markets (UK, DE, FR, NL, RO) down to regional level
Describe the change, policy, or question you want to test
AI agents with real demographics react in their native language
Distribution, segments, risk zones, reasoning — all validated
Focus groups take weeks. Surveys have response bias. A/B tests cost real revenue. By the time you know, you've already launched.
6-8 weeks. 200 respondents. Results after you've already committed.
Same day. 500+ synthetic consumers from real census data across 5 European markets. Validated within ±0.37 points of real surveys — without needing the answer in advance.
Predictions compared against European Social Survey (ESS11) and ONS national surveys across 5 countries.
| Country | Question | Real Mean (ESS11) | Predicted Mean | Error |
|---|---|---|---|---|
| United Kingdom | Economic satisfaction | 3.26 | 3.20 | 0.06 |
| United Kingdom | Life satisfaction | 6.98 | 6.99 | 0.01 |
| United Kingdom | Trust in parliament | 3.65 | 3.47 | 0.18 |
| Netherlands | Economic satisfaction | 5.74 | 5.70 | 0.04 |
| Germany | Economic satisfaction | 4.76 | 4.76 | 0.00 |
| France | Economic satisfaction | 3.65 | 3.62 | 0.03 |
Simulated consumer reactions to a £2/month price increase, validated against YouGov BrandIndex 2023 tracking data.
| Metric | YouGov Actual | Mimea Predicted | Status |
|---|---|---|---|
| Accept change (low impact) | 30-40% | 36% | Within range |
| Annoyed but staying | 35-45% | 41% | Within range |
| Looking to leave | 10-20% | 16% | Within range |
| Actually cancelling | 3-7% | 7% | Within range |
Measure sentiment or predict impact. Same engine, different questions.
Measure how populations feel about any topic across European markets. Validated against real survey data within 4pp accuracy.
Predict how consumers react to business changes before you implement them. Identify risk zones and protect revenue. Validated against YouGov tracking data.
| Capability | Spectrum | Refract |
|---|---|---|
| Question type | How do they feel? | How will they react? |
| Output | Score distribution (0-10) | Accept / Annoyed / Looking to leave / Cancel |
| Calibration | ESS11 + ONS survey data | YouGov brand tracking + inertia modeling |
| Accuracy | ±0.37 points (agnostic) | Within ±5pp of real consumer groups |
| Brand mode | General (no brand needed) | Brand-specific with inertia + competitors |
| Best for | CMO, Strategy, Research | Product, Pricing, CX, Revenue Risk |
Rooted in Mimesis — the ancient Greek concept of faithfully mirroring reality. In philosophy and science, mimesis describes the art of perfectly imitating real life and human behavior.
That's exactly what we do: create ground-truth simulations that mirror how real populations think, feel, and decide. Not synthetic hallucinations — faithful reproductions of human behavior, grounded in real data.
The scientific methodology behind validated synthetic consumer simulation.
Every synthetic consumer is built from real census and survey data — Eurostat demographics, ESS microdata, and national statistics. Each agent has a statistically accurate profile including income, education, occupation, and financial situation that reflects their country's actual population distribution.
Agents don't just have demographics. They carry behavioral profiles calibrated from 87,000+ real survey respondents, consumer archetypes validated per country, and cultural context layers that capture how different populations actually make decisions.
Simulations are grounded in real-world context: current economic conditions, recent news from major national media, brand relationships, and habit patterns. This prevents the common AI failure of treating every question in a vacuum.
We've developed a proprietary calibration system that corrects for known AI biases in consumer simulation. The system learns from validated surveys and applies corrections without needing the answer in advance — producing accurate predictions for questions that have never been asked before.
Validated against multiple real surveys across different question types and countries:
Sentiment accuracy: ±0.37 points on 0-10 scales without any reference data
Brand impact: Consumer reaction groups match real tracking data within target ranges
Segment ordering: Correctly identifies who is most/least affected across demographics
We're honest about what synthetic research can and cannot do. It excels at relative comparisons, segment identification, and directional predictions. We continuously validate against new survey releases and publish our accuracy metrics openly.
Mimea is a European company using European infrastructure. Our data pipeline runs entirely on EU-based systems, our training data comes from European institutions (Eurostat, ESS, national statistics offices), and our models are deployed on European cloud infrastructure.
This isn't just a compliance choice — it's a design philosophy. European consumer behavior has nuances that US-built systems miss: post-communist trust gaps in CEE markets, Dutch directness, the British say-do gap, French institutional skepticism. We model these because we live in them.
Data sovereignty: All consumer simulation data stays within European jurisdiction
GDPR-native: No personal data processed — synthetic agents, not real people
European data sources: Eurostat, European Social Survey, national census offices
Independent infrastructure: No dependency on non-European AI providers in the production pipeline
Tell us about your use case and we'll set up a personalized demo for your market.
Typical response time
Within 24 hours
Demo includes
Live simulation on your market + validation data walkthrough