MatrAIx is an open-source framework that generates and runs one million synthetic personas as LLM agents to evaluate AI systems across surveys, chatbots, websites, and native apps. It uses a 1,290-dimensional persona schema combining synthetic generation with human grounding to test products at population scale before real-world deployment. The tool includes a visual playground, CLI, and a public dataset released on Hugging Face.

• MatrAIx simulates 1 million synthetic personas as LLM agents to test products before real-world deployment, using a 1,290-dimension persona schema spanning background, psychology, capability, and behavior
• It tests across four environments—surveys, AI chatbots, web interfaces, and native apps (iOS, macOS, Android)—via a Playground GUI or CLI
• The persona dataset is publicly released on Hugging Face, synthetically generated but grounded in real human data, and the framework is MIT-licensed
• It's explicitly positioned as a sandbox for hypothesis generation and edge-case discovery, not a replacement for real user research