AI platform that builds 'synthetic audiences' by combining real survey data, large language models, behavioural science and machine learning to predict how people will react to messages, product launches, or policy changes.
Investment Rounds
Capital activity and funding progression
| Amount | Date | Round |
|---|---|---|
| $14 M | Feb, 2026 | seed |
Frequently Asked Questions
Where is Electric Twin located?
Electric Twin is located in London, United Kingdom.
What industries does Electric Twin operate in?
Electric Twin operates in the following industries: artificial intelligence, market research, behavioural science, data analytics.
How much total funding has Electric Twin raised?
Electric Twin has raised a total of $14,000,000.
Who are the investors in Electric Twin?
The investors in Electric Twin are: unspecified, Marc Andreessen, Cal Henderson, Eric Salama, Tom Shinner, Louis Mosley.
Who are the founders of Electric Twin?
The founders of Electric Twin are: Alex Cooper.
What is the primary purpose of Electric Twin?
Electric Twin creates AI-powered synthetic audiences that simulate how real people will respond to products, messages, and campaigns, providing brands with instant consumer insights.
How does Electric Twin improve the speed of market research?
By using digital twins to simulate consumer behavior, the platform allows companies to test ideas and get answers in seconds or minutes rather than waiting weeks for traditional survey results.
Can Electric Twin be used if a company does not have its own survey data?
Yes, the platform can work with existing data or build synthetic models based on demographic personas and real-world behavioral data provided by the system.
What are the main use cases for the Electric Twin platform?
Key use cases include testing advertising copy, evaluating new product concepts, simulating campaign reactions, and gaining a deep understanding of specific customer segments.
Why should a business use Electric Twin instead of a standard AI like ChatGPT for research?
Unlike general AI, this platform uses robust scientific models, real-world data sources, and tailored synthetic audiences to provide survey-level accuracy specifically for consumer behavior prediction.