PRODUCT · OVERVIEW
See your decisions before you live them.
A system that builds coherent synthetic populations at scale, has them talk with dynamic agents, and delivers a traceable inquiry dossier to the decision-maker.
WHAT WE DO
Creating synthetic humans to inform the decisions that matter.
Every high-stakes decision eventually meets humans: customers facing a new price, citizens facing a reform. That encounter is where the decision succeeds or fails. Yet organizations prepare it far from the people concerned, on averages, dashboards and internal convictions.
Imagine All The People was born of a deliberate intent: to create synthetic humans so that this encounter happens before the decision, not after. We build coherent synthetic populations of up to several million individuals, which dynamic agents interview individually and keep alive over time, scenario after scenario. The decision-maker can talk with every voice and test decision A against decision B before committing. We no longer produce studies. We operate simulation infrastructure at the scale of the decisions it informs.
POSITIONING
What sets us apart from classic methods and generative AI platforms.
| Classic research and panels | Generative AI platforms | Imagine All The People | |
|---|---|---|---|
| Scale of interviewing | Samples of a few hundred to a few thousand individuals | A few dozen to a few hundred individuals, with coherence drift at scale | Coherent synthetic populations of up to several million individuals |
| Qualitative depth | Human interviews limited by budget and time | Generic answers without contextual follow-up | Dynamic agents conducting interviews with contextualized follow-ups |
| Temporality of the analysis | A snapshot at time T | Output without temporal depth | Trajectory projections over several months or years |
| Traceability of results | Standard methodological traceability but aggregate restitution | An algorithmic black box | Built-in Explainable AI: every insight traces back to individual interviews |
| Data sovereignty | Variable across providers | Often hosted outside Europe | French infrastructure, documented GDPR compliance |
HOW IT WORKS
From business case to inquiry dossier, in four movements.
First movement: Scoping the business case. The decision-maker states the decision. A price increase, a regulatory reform, crisis communications, an assortment decision, a governance overhaul. The dynamic agents translate that decision into a simulated question, identify the relevant populations, define the structuring typologies, and calibrate the scenarios to test. This scoping determines the depth of everything that follows: it conditions the quality of the inquiry dossier delivered.
Second movement: Instantiating the synthetic population. Our system rebuilds a population coherent at the scale of the decision: from a few hundred thousand to several million individuals, calibrated on public data and on the proprietary data the client provides. The population is structured into granular typologies crossing the dimensions relevant to the decision: demographic, economic, behavioral, territorial, professional, cultural. No personal records ever enter the system.
Third movement: Interviewing by the dynamic agents. Our system interviews representative samples of each typology individually. The agents conduct in-depth interviews: not multiple-choice questionnaires. They follow up with each individual on friction points identified in real time, with 7 to 12 follow-ups per person on average. This phase, which compresses the equivalent of several weeks of human work into under five minutes of computation, produces qualitative granularity out of reach of classic methods.
Fourth movement: Delivering the inquiry dossier. Our system delivers a queryable dossier structured around the identified insights, the compared scenarios, the measured tipping points, the traceable reasoning paths. The decision-maker can trace every conclusion back to the individual interviews that produced it. The dossier is not a closed answer: it is an exploration instrument that accompanies the decision, informs it, and stands up to audit by risk and compliance teams.
FINANCIAL SERVICES
FINANCIAL SERVICES
Removing 1,200 ATMs in rural areas without a reputational crisis.
A national European banking network was preparing the removal of 1,200 ATMs in sparsely populated areas. Our system simulated the reception of five communication scenarios across 1.2 million rural customers, projected media cascades over 12 weeks, and identified the dominant sequence: a territorial prefectural cascade, with an operational partnership with a major partner group announced as the lead of the story. At 24 months, no media crisis had been triggered. The projected annual savings were achieved at 94%.
Read the full case →WHY SCALE MATTERS
Leave the average behind, reveal the micro-patterns, identify the structuring minorities.
Scale is not just a matter of volume. It changes the nature of the analysis. An analysis by averages reveals general trends. A simulation at scale reveals the fine internal structure of the population, where high-stakes decisions are actually won or lost.
| ANALYSIS BY AVERAGES | SIMULATION AT SCALE | |
|---|---|---|
| What you see | General trends, and sometimes differences between broad segments. | The fine internal structure of the population: stable groups, hesitant groups, weak signals, threshold effects, contradictions between neighboring groups. |
| What the decision captures | A moderately acceptable project. | A project rejected by a specific group, in a specific territory, for a specific reason, with a measured risk of blockage. |
| An observed example | "Average acceptance is 61%." | "4% of the population concentrate 78% of the measure's political risk." |
This granularity is not a methodological luxury. It is the condition of existence of high-stakes decisions. Without it, the decision-maker acts on misleading averages. With it, they act on real populations whose internal diversity, tipping points and critical windows they know.
ORDERS OF MAGNITUDE
The system in numbers.
SYNTHETIC POPULATIONS INSTANTIATED
up to 10 million
coherent individuals per simulation
GRANULAR TYPOLOGIES PER SIMULATION
10 to 30
crossing several structuring dimensions
INDIVIDUAL INTERVIEWS CONDUCTED
several hundred thousand
on average per simulation
CONTEXTUAL FOLLOW-UPS PER RESPONDENT
7 to 12
on average per interview
SCENARIOS COMPARED IN PARALLEL
4 to 9
depending on configuration
TYPICAL DELIVERY TIME
20 to 30 minutes
from submitted brief to inquiry dossier
Preparing a high-stakes decision?
The dynamic agents scope with you the parameters of a simulation adapted to your situation, ahead of the decision. From initial brief to first deliverable, allow 20 to 30 minutes, depending on the case's complexity and the breadth of the populations to model.
See the case library →Read the guide: making decisions with synthetic populations →