Researchers built MatrAIx, a platform that uses 8.3 billion simulated personas to evaluate how AI systems and digital products perform across diverse user types. The system combines human-grounded personas (extracted from Wikipedia, Stack Overflow, surveys) with synthetically generated ones, then runs them through four types of test environments—surveys, chatbots, websites, and apps—to measure how different user groups interact with and respond to products. In validation tests, the simulated personas behaved consistently with their assigned attributes 91.5% of the time, showing this approach can catch user-specific friction points and failure modes faster and cheaper than traditional human testing.

• MatrAIx uses 8.3 billion simulated personas (with a curated ~1M subset, 600K human-grounded/400K synthetic) to test products instead of recruiting real human testers
• In validation trials, synthetic personas correctly expressed or suppressed assigned behavioral traits 91.5% of the time across ten attributes
• The system ran 18,189 trials across eight tasks, revealing realistic behavioral variation like differing tolerance for price hikes, AI failures, and slow response times across user types