Problem

Every launch is a bet.

품목별 수요예측 결과 제공
향후 6~12개월 수요를 그래프로 한눈에 확인
You can spend months building the right product and still get the market wrong. By the time you find out, you've already invested in development, inventory, marketing, and distribution.
Weeks of waiting
Traditional research takes weeks
to recruit participants, run surveys, and deliver insights. Markets don't wait.
Research that can't scale
Traditional research is difficult to repeat across every product, segment, price, and market you need to test.
No sales history
Without sales history, launch decisions are often based on intuition instead of evidence.
The Solution
Know your market,
before you launch
MarketTwin creates a digital twin of your target market with over one million AI consumers. Each consumer is an LLM-powered agent built from a demographically representative persona with 99 attributes spanning demographics, values, lifestyles, and attitudes, accurately reflecting a real national market. Together, they behave like your market. Ask them anything.
How It Works
From Idea to Market Insight

in Three Steps.
1
2
3
Bring Your Idea
Enter your product concept and ask what you need to know before launch.
1
Choose Your Market
Build the audience that matters—down to the smallest segment.
2
See How They Respond
Understand what people prefer, what they'll buy, and what they'll pay.
3
Key Features
Don't just survey the market.

Simulate it with one million AI consumers.
Run unlimited surveys
Traditional research relies on recruiting a limited panel of real respondents. MarketTwin surveys one million synthetic consumers in minutes, across any segment, as often as you need. No recruiting. No waiting.
Interview any persona
Go beyond the numbers. Open a one-to-one interview with any synthetic consumer and explore the reasoning behind every response in natural language.
Forecast products before launch
Traditional forecasting depends on historical sales data. MarketTwin helps teams validate new product ideas before launch, even when no sales history exists.
See How They Respond
Build a digital market twin for countries and regions around the world. Evaluate products in overseas markets without recruiting local panels, traveling, or waiting weeks for results.
Technology
Simulated by AI.
Validated by reality.
Each AI consumer is an LLM agent grounded in a demographically representative persona with 99 attributes spanning demographics, values, lifestyles, and attitudes. Rather than generating a generic model response, each agent reasons from its assigned profile and maintains a consistent point of view across questions.Responses from over one million AI consumers are aggregated into segment-level distributions, forming a digital twin designed to mirror how a real market responds. Fixed sampling keeps repeated studies reproducible.
Validated againValidated against real consumer datast real surveys
Across multiple companies' survey datasets, synthetic responses matched real consumer preferences at the segment level with statistical significance (p ≤ 0.01).
Up to 0.96 similarity
In our internal validation study, synthetic response distributions reached up to 0.96 similarity with real consumer survey results.
47–81% less error
Persona-grounded synthetic consumers reduced prediction error by 47–81% compared with non-persona baselines, while delivering results in minutes instead of weeks.

Great ideas shouldn't fail

because of uncertainty.

품목별 수요예측 결과 제공
향후 6~12개월 수요를 그래프로 한눈에 확인
Every business deserves to know its market before taking the risk of entering it.MarketTwin makes it possible to test ideas before launch, so businesses of any size can make bigger decisions with less uncertainty.
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