Electric Twin
The startup develops large language models that simulate human behavior to facilitate real-time analysis and decision-making. Its technology enables users to create synthetic populations for targeted market research, allowing for deep inquiries and immediate feedback to enhance data-driven strategies.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Raised to date
$24MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
$18M across 2 disclosed rounds
CHESLM+3$14M · Series A
Announced Feb 2026
Disclosed cumulative: $14M
Reported total $24M
Not on chart (date unknown): Pre-Seed $4M
Incomplete round history. $6M of the $24M reported total isn’t matched to a known round.
Founders
Product
Problem
Traditional market research methods, such as surveys and focus groups, are time-consuming, expensive, and often fail to capture the nuances of human behavior, leading to unreliable insights and flawed decision-making. Existing segmentation and profiling techniques struggle to keep pace with rapidly evolving societal attitudes and consumer preferences.
Solution
Electric Twin offers a science-based platform that simulates human behavior using large language models to provide real-time analysis and decision-making support. The platform enables users to create and interact with synthetic populations that accurately reflect target markets or research demographics. By training on a global cultural corpus and tuning with unique datasets, Electric Twin captures the complexities of human behavior with precision. Users can conduct surveys, interviews, and focus groups with these synthetic populations to gain insights in seconds, test narratives, refine product concepts, and build a deeper understanding of their target audiences.
Target Audience
Electric Twin primarily serves companies and governments seeking to make better, data-driven decisions through a deeper understanding of human behavior and market dynamics.
Features
- Science-based synthetic populations trained on a global cultural corpus and tuned with unique datasets
- Ability to create bespoke audiences by ingesting real-world data, such as surveys and focus group recordings
- Pre-built, off-the-shelf audiences representing diverse demographics across 173 countries
- Tools for conducting surveys, interviews, focus groups, and one-on-one discussions with synthetic personas
- Real-time feedback and iterative testing capabilities for narratives, messaging, and product concepts
- Prediction engine that benchmarks against real-world survey data to ensure accuracy
- Secure and private environment for operating with sensitive data