London-based Electric Twin has secured $14 million in funding to expand its AI platform that builds “synthetic audiences” designed to predict how real people think and behave.
The raise includes a $10 million round led by Atomico, with backing from LocalGlobe, Mercuri, and Samos Investments. Prominent angel investors participating in the round include Marc Andreessen, Cal Henderson, Eric Salama, Tom Shinner, and Louis Mosley.
The funding follows a previously undisclosed $4 million pre-seed round.
Reinventing Market Research With Synthetic Audiences
Electric Twin combines real-world survey data with large language models, social science research, and machine learning to create predictive audience simulations. These “synthetic audiences” enable companies to test messaging, product launches, and strategic decisions in minutes rather than weeks.
The company was founded by Dr. Ben Warner, former Chief Adviser on Digital and Data to the UK Prime Minister, and Alex Cooper, a former military commander who led the UK’s mass testing response during the pandemic. Having worked together during the COVID response, the founders set out to build a system that equips decision-makers with faster, more reliable insights.
Traditional market research methods are often slow, costly, and limited by fixed questionnaires and sample sizes. Electric Twin’s platform aims to overcome these constraints by continuously modelling how audiences are likely to respond across a wide range of scenarios.
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40,000 Evaluations Across 155 Countries
To date, Electric Twin has conducted more than 40,000 population evaluations spanning 155 countries, building a large-scale predictive engine. Academic research conducted in collaboration with Professor Michael Muthukrishna of London School of Economics found that the platform can generate insights up to 10,000 times faster than traditional methods, with reported accuracy of 95%.
Organisations already using the platform include News UK and global telecom provider Lebara, which leverage the system to gain near-instant insights into customer sentiment and likely behavioural responses.
Expanding The Global Prediction Engine
With the new capital, Electric Twin plans to accelerate international expansion and further enhance its synthetic audience models. The company aims to broaden the range of business scenarios that can be tested, embedding predictive audience intelligence directly into corporate strategy and decision-making workflows.
By blending AI, behavioural science, and large-scale data modelling, Electric Twin is positioning itself to redefine how organisations understand and anticipate customer behaviour in an increasingly fast-moving global market.
