Test with AI-generated personas that simulate real consumers across markets, demographics, and cultures.
Examples
Our AI Product Agents can act as flavor panel judges—simulating diverse consumer tastes, predicting winners, and de-risking multimillion-euro launches. These panels are trained on consumer survey data + purchase histories to predict reactions to new flavors before running physical taste tests.
Virtual supermarket shelves: Synthetic shoppers are modeled on demographic/psychographic clusters (e.g., price-sensitive families vs. eco-conscious millennials). Their choices in a simulated shelf environment are tested to see how packaging, placement, or pricing innovations influence purchases.
Automotive OEMs: Simulate synthetic drivers (urban commuters, rural families, fleet managers) to test acceptance of new features like autonomous parking or subscription-based services.
Synthetic banking customers: Simulate how different personas (e.g., risk-averse retirees vs. digital-native entrepreneurs) react to a new investment app or insurance product.