With new funding, Electric Twin plans to expand internationally and further develop its prediction technology, enhancing its synthetic audience models and broadening the range of scenarios organisations can analyse to support decision-making.
Electric Twin, an AI platform developing synthetic audience models designed to simulate real-world human thinking and behaviour, has raised $14 million in funding. The total includes a $10 million round led by Atomico, with participation from LocalGlobe, Mercuri and Samos Investments, as well as several angel investors, including Marc Andreessen, Cal Henderson, Eric Salama, Tom Shinner and Louis Mosley. The funding follows a previously undisclosed $4 million pre-seed round.
Founded by Dr Ben Warner and Alex Cooper, Electric Twin develops tools to help organisations better understand their audiences and inform decision-making. By combining real-world survey data with large language models, social science research and machine learning, the platform creates synthetic audience models designed to estimate how people may respond to messaging, product launches or strategic proposals.
This approach is positioned as an alternative to traditional research methods, which can be time-consuming and costly and are often limited by fixed questionnaires and sample sizes. Such constraints can leave decision-makers with incomplete insights.
Electric Twin seeks to address these limitations by transforming static research inputs into dynamic digital audience models, enabling faster analysis and broader scenario testing. The platform enables organisations to explore audience perspectives in greater depth and evaluate ideas more efficiently.
Commenting on the company’s origins, Alex Cooper, co-founder and CEO, said that their experience leading during a crisis highlighted how often important decisions had to be made with limited information. He explained that Electric Twin was created to equip leaders with tools to better understand their audiences, interact with them in real time and anticipate likely responses or behaviours.
The funding will support Electric Twin’s international expansion and continued development of its prediction technology. As the company grows, it plans to enhance its synthetic audience models and expand the range of scenarios organisations can analyse, with the aim of making advanced decision-support tools more widely accessible.