Electric Twin expands AI audience platform with $14M round

European AI startup Electric Twin has secured $14 million in funding, signaling significant investor confidence in its innovative approach to audience modeling. The round was led by Atomico with participation from LocalGlobe, Mercuri, and Samos Investments, alongside angel investors. This capital infusion, following a prior $4 million pre-seed round, will fuel the company's international expansion and further development of its predictive technology. Electric Twin's platform utilizes a sophisticated blend of real-world survey data, large language models, social science research, and machine learning to construct dynamic synthetic audience models. These models are designed to simulate human thinking and behavior, enabling organizations to estimate potential audience responses to various scenarios, from marketing messages to product launches. This advanced AI application offers a compelling alternative to traditional, often costly and time-consuming, market research methods that can be constrained by fixed questionnaires and limited sample sizes. The implications of Electric Twin's technology are far-reaching for businesses seeking deeper audience insights and more agile decision-making processes. By transforming static research inputs into dynamic digital representations, the platform allows for faster analysis and broader scenario testing, empowering leaders to evaluate ideas more efficiently and anticipate audience reactions with greater accuracy. This development aligns with the growing European focus on enhancing digital sovereignty and fostering homegrown innovation in critical AI sectors. The company aims to make these advanced decision-support tools more accessible, thereby democratizing sophisticated audience understanding.