Voygic develops AI-based consumer models to reduce market research costs

Founded by Jingshen Jiang and Yilin Du, Voygic provides a platform that generates digital personas based on real consumer reactions to video advertisements. The technology is designed to assist brands in predicting market responses without the significant financial burden associated with traditional pre-launch surveys or live A/B tests, which can cost thousands of dollars per campaign.

By testing ad variations against AI-driven personas, Voygic claims to achieve an accuracy rate of 80% compared to human panels. This approach is positioned to help cross-border businesses—specifically Asian brands entering Western markets—bridge cultural gaps in consumer understanding. The startup is currently participating in the Techstars Tokyo accelerator.

Financially, the company reports approximately $100,000 in annual recurring revenue. Management is preparing to raise a $2 million seed round in early 2027 to expand its data pipelines and market share. The business model targets both consumer brands and advertising agencies, with annual service fees ranging from $10,000 to $1 million.

Scaling the company depends on establishing industry trust in synthetic research data. Because artificial intelligence models cannot always replicate the nuances of human decision-making, Voygic must consistently demonstrate that its predictive accuracy meets the decision-making requirements of high-stakes corporate environments.