Electric Twin

Electric Twin is a deeptech company building a synthetic audience platform. Its system uses AI-generated synthetic audiences, grounded in real user data, to help organisations predict how actual people will respond to questions, products and decisions. The approach draws on large language models, machine learning and social science research, and is aimed at firms in market research, consumer insights, customer research and decision intelligence.

The company's Synthetic Audience Platform lets an organisation pose unlimited questions to synthetic representations of its own users and receive responses in seconds, rather than the weeks typical of conventional research. It supports follow-up questions, iteration and edge case exploration, and allows variations to be tested, which the company frames as continuous research rather than one-off snapshots. Queries can be made in natural language.

Performance claims rest on academic work: the platform is reported to deliver insights 10,000 times faster than traditional market research at 95% prediction accuracy, figures attributed to research conducted with the London School of Economics (LSE). The company describes its mission as improving understanding of human behaviour, and positions evidence-based decision-making as an alternative to guesswork.