About
Voice Capture is built by Genius Labs AI, founded by Jorge Rosales. We make software for market research teams — and we field research ourselves, which is where the numbers published on this site come from.
Voice Capture is one of several tools we build for insights teams: Survey Coder Pro, which codes open-ended answers automatically; InsightGenius, which runs statistical analysis on SPSS files; a parsing layer that turns research decks into structured data; and the follow-up engine that asks AI probing questions inside a live survey. Voice Capture sits at the start of that chain — it is the part that gets a respondent talking in the first place.
We did not build another survey tool. Voice Capture drops into the survey you already run — Alchemer and QuestionPro today — as a snippet you paste into a question. Your questionnaire, your logic, your quotas and your panel stay exactly where they are. The only thing that changes is that the open-end now has a microphone button next to the text box.
That is a deliberate choice, not a limitation. The platform your team fields on is not a preference — it is a licence renewed every year and a library of studies someone spent years programming into it. Asking a team to walk away from that to try a better open end is the cost that kills a good idea before anyone gets to test it, and the study that would have proved the point never goes to field. So Voice Capture never asks. You keep the licence, the library and the logic; the open end gets a microphone.
See the integrationsThe figures on this site come from our own work — the pilot testing that made us build this in the first place, and brand tracking and customer experience studies run through the product since, in Latin America — not from a vendor benchmark or someone else's white paper. Measured properly at scale, the difference came out smaller than the pilot suggested. We publish both numbers rather than only the flattering one.
We do not publish client or study names, ever. What we do publish is the arithmetic: how many responses, the means and the medians, the like-for-like check question by question, what was excluded and why, and the things this data simply cannot measure.
How we measured thatWrite to us about the product, about a study you are planning, or about anything on the methodology page you want to pick apart. Questions about how a number was produced are the ones we most like to get.
hello@insightgenius.ioStart free, no card. Paste the snippet into a single open-end and hear the difference before committing to anything.
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