Electric Twin builds a synthetic audience platform designed to help organisations make decisions based on evidence rather than guesswork. The system combines large language models, machine learning and social science research to construct synthetic audiences that predict how real people will respond. Users can ask unlimited questions, follow up, iterate, explore edge cases and test variations, arriving at a continuous understanding grounded in real data about their own users.
The company reports that its platform produces insights 10,000 times faster than traditional market research, at 95% accuracy. The product is aimed at replacing slow, one-off research exercises with a persistent line of questioning that teams can return to as decisions evolve.
The technical work sits at the intersection of language models, machine learning and social science research, with synthetic audience simulation as the core discipline. The firm's stated approach favours evidence-driven decision making over guesswork, a continuous research and iteration mindset, and a belief that better understanding of human behaviour improves outcomes.
