Real data
Geography, demographics, income and spending, category interests, and behavior come from proprietary surveys and government data. Consumers carry that buying power into the run.
Explore the marketbefore you commit.
Introduce a product, a price, a position, or a competitor to a population built from survey and government data. Consumers interact, word of mouth moves across locations, and the world can update as events arrive — so you can study the scenario before you spend against it.
Decisions are made before the market responds.
A price change, a launch, a campaign, a rival’s entry: the commitment is made, and only then does the market answer. By the time a new round of research comes back, the money is already in motion. What people tell each other, and what a new law changes about what they can buy, rarely land in the same picture.
- The commitment is made first.
- The response arrives later, and in pieces.
- Word of mouth and outside events rarely share a model.
How it works
A scenario runs on a population that was built from evidence, then the run stays open to inspect.
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01
Build the population from real data
Proprietary survey data and government data supply geography, demographics, income and spending, category interests, and behavior patterns. The synthetic population is built from those records.
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02
Introduce the scenario
A product launch, a pricing change, a position, a competitor’s entry, or a campaign is placed in front of that population.
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03
Agents interact, and the world evolves
Consumers respond and talk. Word of mouth spreads across locations. The simulated world can update with events such as a political change or a new law.
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04
Analyze the outcomes
Follow how consumers in the run responded, where talk traveled, and which constraints held. The path from the source data to the outcome stays open to inspect.
Under the hood, LLM reasoning, Jev (a fast System 1 judgment layer), RICH/OASIS social simulation, and the FAST quantitative choice engine work as one traceable system.
The population has a place.
Consumers are placed from the geography in the survey and government data. A scenario is introduced there. Talk moves across locations, and the world can change when events do.
Drag to look along the street. Shops, traffic, and a town-hall rally, looping.
Loading the population globe…
What you can explore
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Pricing
Introduce a price change and follow who stays with the brand, who switches, and where word of mouth travels.
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Product launch
Place a new product in front of consumers who already have budgets, habits, and a location.
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Competitor entry
Explore how an incumbent’s buyers may respond when a rival enters the same market.
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Campaigns
Study a message before media spend, including how it spreads from person to person.
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Positioning
Compare ways of framing the same offer against the same population.
Why SynthEngine
Social dynamics
Agents interact. Word of mouth spreads across locations, as part of the run.
A live world
Events such as a political change or a new law can enter the simulation, so the market is not frozen on the day the file was exported.
Traceable
Reasoning, social interaction, and the quantitative choice stay linked, so an outcome can be followed back to the evidence and the scenario.
Questions
What is SynthEngine?
SynthEngine is a market intelligence platform for exploring a launch, a price, a position, a competitor’s entry, or a campaign before you commit. A scenario is introduced to a synthetic population, consumers interact, and the outcome stays open to inspect.
Where does the population come from?
Populations are built from proprietary survey data and government data: geography, demographics, income and spending, category interests, and behavior patterns. Consumers carry that buying power into the run.
What can a team explore?
Pricing changes, product launches, competitor entry, campaigns, and positioning. The same population can be used to compare scenarios before you commit.
Does SynthEngine replace a survey?
Survey and government data are inputs to the population. SynthEngine is a way to explore a scenario before you commit, alongside the research you already run.
Does it tell you exactly what the market will do?
It lets you explore how consumers in the run may respond, including where word of mouth travels and which constraints hold, before you spend against the decision.
What happens during a run?
A scenario is introduced to the population. Agents interact, and word of mouth can spread across locations. The simulated world can update with events such as a political change or a new law. The path from the source data to the outcome stays open to inspect.
What runs under the hood?
LLM reasoning, Jev (a fast System 1 judgment layer), RICH/OASIS social simulation, and the FAST quantitative choice engine work as one traceable system.
Who is the design partner program for?
FMCG, brand, and insights teams that want to explore a category they already know, including a pricing, launch, competitor, campaign, or positioning question.
How do I join the waitlist?
Leave a work email on this page. SynthEngine uses that address only to write to you about the product.
Design partners
For FMCG, brand, and insights teams. Bring a category you already know and explore a pricing, launch, competitor, campaign, or positioning question with us.