SynthSurvey gives you real survey distributions fast — without making things up. Every answer is labelled: real data, grounded estimate, or synthetic. You always know what you’re looking at.
At the heart of SynthSurvey is a fused dataset of 61,597 real people — drawn from governments, major universities, and our own proprietary panel. We know 1,472 things about each of them. We weight newer data more heavily and decay older readings over time, so the answer reflects what is true now, not what was true a decade ago.
When you ask SynthSurvey a question, it follows a disciplined path — not just a prompt fired at a machine. Every result is labelled so you always know exactly what you’re looking at.
Every audience has a fingerprint — a unique hash describing what makes them different from the average person. We use it to ensure that when we generate synthetic voices, they are the right voices: shifted to the right positions in the data, not random noise.
If you are looking at young women in London who play video games, their fingerprint will show they are more optimistic about technology and more likely to trust scientists. The machine is constrained by what the data knows to be true of that group.
Across a range of surveys — including our Cint panel — we apply an 80/20 hold-split. 80% of responses are fused into the dataset. The remaining 20% go into our validation index and calibration model, where they are used to calculate Mean Absolute Error against our synthetic outputs. Our Calibration Index gets smarter every time a new hold-out set is checked against real data.
Three co-founders with complementary expertise across consumer intelligence, communications measurement, and machine learning.
SynthSurvey gives you real survey distributions — grounded in 61,597 real people — in the time it takes to type a question. Follow the data.