Electric Twin, an artificial intelligence platform focused on developing synthetic audience models, has announced $14 million in funding.

Funding Details

The funding includes a $10 million round led by Atomico, with participation from LocalGlobe, Mercuri, and Samos Investments, as well as several angel investors. This follows a previously undisclosed $4 million pre-seed round.

Technology and Application

Founded by Dr Ben Warner and Alex Cooper, Electric Twin develops tools to help organizations better understand their audiences and inform decision-making. The platform combines real-world survey data with large language models, social science research, and machine learning to create synthetic audience models. These models are designed to estimate how people may respond to messaging, product launches, or strategic proposals.

Advantages over Traditional Methods

This approach is positioned as an alternative to traditional research methods, which can be time-consuming, costly, and limited by fixed questionnaires and small sample sizes. 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 organizations to explore audience perspectives in greater depth and evaluate ideas more efficiently.

Future Expansion and Development

The funding will support Electric Twin’s international expansion and continued development of its prediction technology. The company plans to enhance its synthetic audience models and expand the range of scenarios organizations can analyze, with the aim of making advanced decision-support tools more widely accessible.

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