London’s Electric Twin, an AI platform building synthetic audiences that model how people think and behave in real life, is announcing that it has raised €12 million ($14 million) to fuel their global expansion and support continued development.
This includes a €8.5 milliom ($10 million) round led by Atomico, backed by LocalGlobe, Mercuri and Samos Investments, and joined by a raft of leading angels including: Marc Andreessen; co-founder and CTO of Slack, Cal Henderson; former Kantar CEO, Eric Salama; COO of Entrepreneur First, Tom Shinner; and Executive Vice President, UK and Europe, at Palantir, Louis Mosley. This funding follows on from a previously undisclosed €3.5 million ($4 million) pre-Seed.
Alex Cooper, co-founder and CEO of Electric Twin, says: “Electric Twin was born from our experience leading through crisis, where we spotted a common problem: too many decisions had to be made with incomplete information. We wanted to build a solution that allows leaders to understand their audiences better than ever before – to speak to them instantly, ask them anything, and predict how they will behave. This investment will enable us to scale our vision and put synthetic audiences at the heart of business strategies.”
In the emerging field of AI-driven market research and synthetic audience modelling, several European startups have secured fresh capital in 2025.
UK-based Artificial Societies raised €4.5 million in Seed funding to scale its platform for simulating human behaviour and delivering rapid audience feedback – notably from the same country as Electric Twin. Cologne-based experial secured €2 million in pre-Seed funding to develop AI-powered digital twins for market decision-making. Denmark’s Propane attracted €1 million to build an AI-driven customer intelligence platform, while Copenhagen-headquartered GetWhy raised an additional €17 million to expand its generative AI consumer insights platform. In Belgium, Trendtracker secured €5.9 million to scale its AI-powered strategic intelligence technology.
Taken together, these disclosed rounds amount to over €30 million flowing into adjacent AI-enabled consumer insights and behavioural simulation platforms across Europe in 2025.
Against this backdrop, Electric Twin’s €12 million raise positions it among the larger individual funding rounds in this segment, reflecting sustained investor interest in technologies that aim to automate and accelerate understanding of customer behaviour, strategic decision-making and market testing.
Ben Blume, Partner at Atomico, adds: “Companies are desperate to understand their customers, but still lack the tools to unlock insights cost-effectively and at scale. Electric Twin is forging a genuinely new path, bringing science and machine learning to the clunky, static world of market research and opening up a new era of deeper, more accurate and far faster insight generation. Their product is already market leading in this rapidly emerging space and will only grow more powerful. Alex and Ben bring unique experience in making critical decisions at scale, and we are proud to partner with them and the team as they continue their rapid growth journey.”
Founded in 2023, Electric Twin builds synthetic audiences so organisations can understand their customers. Using AI, machine learning and social science research, the tech simulates how real audiences behave, so companies can test ideas, messaging, and campaigns and get feedback in minutes instead of weeks.
Electric Twin was founded by Dr Ben Warner, a physicist and the former Chief Adviser on Digital and Data to the Prime Minister, and Alex Cooper, a former military commander who established the UK’s mass testing response during the COVID pandemic.
The Times and Lebara are among those already using the platform.
By taking real-world survey data and combining it with LLMs, social science research and machine learning, the platform creates ‘synthetic audiences’ that can predict how real people will respond to messaging, product launches, or proposed strategies.
The company has already run over 40,000 evaluations of populations covering 155 countries worldwide to train its prediction engine. Academic research, conducted in collaboration with Professor Michael Muthukrishna from the London School of Economics, found Electric Twin’s technology reportedly delivers insights 10,000 times faster than traditional research methods with 95% accuracy.
As the company scales, it will continue to deepen its synthetic audience models and extend the range of scenarios that organisations can test for – putting advanced decision-making technology into the hands of all businesses.
Read the orginal article: https://www.eu-startups.com/2026/02/covid-government-adviser-and-military-commander-land-e12-million-to-scale-electric-twins-synthetic-audience-platform/
