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Knowing what your buyers think has always cost weeks. Gather introduced company-specific customer simulations on Tuesday, built from interviews that an AI moderator conducts with actual human participants, and it is pitching customer research as something you query in minutes rather than commission in quarters.
The company says it has grown tenfold in eight months and now works with more than 50 businesses across B2B SaaS, retail, packaged goods and quick-service restaurants. For a marketing team of two or three, the interesting part is not the growth number. It is the premise that you no longer have to choose between guessing and waiting.
How the simulation is built
Real interviews come first. The moderators can draw on a participant pool numbering in the millions, running conversations that mix fixed questions with follow-ups so they get past the first answer to the reasoning underneath it.
Those conversations feed a model of your specific buyers, covering what they need, how they decide and how they react to your messaging against the alternatives. Underneath sits a corpus the company owns outright, six figures’ worth of past interviews, and your existing customer data layers onto that.
When you ask something the simulation cannot answer well, it goes and runs more interviews on its own, then folds the findings back in. Co-founder and CEO Mayank Mehta describes the goal as making research invisible so the decision stays in front.
Where the answers show up
Teams reach the simulation through Emma, an AI teammate that lives in Slack. That placement is deliberate, and it is the part most likely to change behavior.
Research tools usually fail on adoption rather than accuracy. A dashboard nobody opens produces nothing. A question you can type into the channel where the campaign is already being argued about gets asked.
Gather bundles three things: the moderated research itself, the simulation you query, and cont… Read More
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