Electric Twin has emerged at a moment when organisations are under growing pressure to make faster, higher-stakes decisions while navigating fragmented data and rapidly shifting public sentiment. As markets, politics and consumer behaviour become more volatile, leaders increasingly struggle to understand how real people will respond to new ideas before committing resources. The London based startup believes synthetic audiences can help close that gap, and investors are backing the vision with significant new capital.
Funding to scale synthetic audience intelligence
Electric Twin has raised $14 million in total funding to accelerate the development of its AI-driven synthetic audience platform. The latest $10 million round was led by Atomico, with participation from LocalGlobe, Mercuri and Samos Investments, alongside a group of prominent angel investors including Marc Andreessen, Cal Henderson, Eric Salama, Tom Shinner and Louis Mosley. The company had previously secured a $4 million pre-seed round that was not publicly disclosed.
The new funding marks an important milestone for Electric Twin as it moves from early development into international expansion and broader enterprise adoption.
Rethinking how organisations understand people
Founded by Dr Ben Warner and Alex Cooper, Electric Twin is building technology designed to help organisations predict how people think, feel and behave in response to decisions, messages and products. The platform combines real world survey data with large language models, machine learning and social science research to create what it calls synthetic audience models.
These models are designed to simulate how different groups may respond to scenarios such as policy proposals, marketing campaigns, brand positioning or strategic shifts. Instead of relying solely on static surveys or focus groups, users can interact with a dynamic digital representation of an audience and test multiple ideas quickly.
Addressing the limits of traditional research
Traditional market research methods are often slow, expensive and constrained by fixed questionnaires and limited sample sizes. Once a study is complete, insights can quickly become outdated, particularly in fast-moving environments. This can leave leaders making critical decisions based on partial or delayed information.
Electric Twin positions its platform as a way to turn static research inputs into living models that can be queried continuously. By doing so, organisations can explore audience perspectives in greater depth, test alternative approaches and understand potential risks before acting.
Origins shaped by real-world decision pressure
According to co-founder and CEO Alex Cooper, the idea for Electric Twin was shaped by firsthand experience of leading teams through crisis situations where decisions had to be made quickly with incomplete information. That experience highlighted how limited existing tools were when it came to understanding how people might react in real time.
Electric Twin was created to give leaders a way to interact with audience insights more fluidly, helping them anticipate reactions rather than respond after the fact.
Expanding prediction capabilities and global reach
With the new funding, Electric Twin plans to invest heavily in advancing its prediction technology and improving the sophistication of its synthetic audience models. The company aims to expand the range of scenarios that organisations can analyse, enabling use cases across strategy, communications, product development and public engagement.
International expansion is also a priority, as Electric Twin looks to make its platform accessible to organisations operating across different markets and cultural contexts.
Making advanced insight more accessible
As AI continues to reshape decision-making across industries, Electric Twin is positioning itself at the intersection of technology, behavioural science and strategy. By lowering the cost and complexity of understanding human response, the company aims to make advanced audience insight a standard tool rather than a luxury reserved for large research budgets.
With strong backing and a clear focus on predictive decision support, Electric Twin is now preparing for its next phase of growth as demand for faster, deeper human insight continues to rise.