Intellicia provides a synthetic consumer AI platform that generates virtual consumer personas from real human data to conduct market research at scale. The platform enables companies to run surveys, concept tests, and brand awareness studies in minutes rather than months, with AI-designed questionnaires and automated reporting. It supports research across 12 countries and 6 languages, with validation showing 91.2% Spearman correlation against real consumer responses.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional quantitative market research is slow, expensive, and prone to response bias. A typical 1,000-person survey can take two months and cost around 20 million KRW, while respondents often exaggerate or distort answers, and external data handling creates security risks.
Solution
Intellicia provides a synthetic consumer AI platform that replicates real consumer behavior using LLM technology trained on actual human data. The platform creates multi-layer personas reflecting demographics, interests, purchase patterns, spending power, lifestyle, and core memories, then runs surveys against these virtual consumers to deliver results in 3-5 days at roughly 2.5 million KRW per 1,000-person study. An AI survey designer builds 50-80 question questionnaires in three minutes, while an automated reporting engine converts raw results into presentation-ready PPTX reports with key takeaways and charts. The system achieves a 91.2% Spearman correlation with real consumer responses and supports research across 12 countries and 6 languages.
Target Audience
Primary customers are corporate research teams, brand managers, and product developers at consumer goods companies, as well as market research agencies needing faster, cost-effective quantitative insights across U&A studies, brand tracking, concept testing, demand forecasting, CSAT, and ad effectiveness measurement.
Features
- Multi-layer persona generation incorporating hundreds of attributes including demographics, interests, purchase patterns, spending power, lifestyle, and core memories
- Proprietary LLM engine (Sullivan Engine) specialized for reproducing everyday consumer thinking rather than maximizing intelligence
- AI survey design that generates 50-80 question questionnaires with logic branching and bias removal in under three minutes
- Automated report generation that extracts key insights, creates charts, and produces downloadable PPTX files
- Global research infrastructure covering 12 countries and 6 languages with 500K+ original panel data points
- Hybrid survey capability combining synthetic consumers with real respondents for high-stakes product launches
- PoC (Proof of Concept) validation projects that compare synthetic results against actual consumer survey outcomes