GatherHQ lets AI agents ask buyers instead of guessing their answers

An AI agent can summarize research that already exists. GatherHQ wants it to commission fresh evidence when the answer is missing, then return to a model of those buyers as the next question arises.

The company is introducing research infrastructure for agents and business teams that combines existing customer knowledge, interviews with real people and simulations of buyer responses. Its API makes that workflow available to software agents, while people can use GatherHQ directly or its Emma interface in Slack.

The distinction between those sources matters. A recorded customer conversation is evidence from a particular interaction. A new interview can investigate a question no one has asked. A simulation can explore how buyers might react, but its answers are model outputs rather than fresh responses from the people being represented.

GatherHQ says its system first makes existing calls, surveys and research searchable. When the information is insufficient, an AI researcher can design a study, recruit an audience and conduct adaptive interviews. Each interview then contributes to what the company calls a living buyer model.

That model is intended for testing questions about pricing, messaging and product ideas. The company says teams can query it in minutes and use fresh interviews to keep it connected to actual customer responses. The value of a simulation therefore depends on the evidence behind it and on how well it represents the audience a team is trying to understand.

Watch GatherHQ's launch video.

GatherHQ reports conducting more than 250,000 interviews and serving 60 enterprise customers. Its announcement names Datadog, Fortinet, SailPoint, Envoy and other companies among its customers. These are company-reported figures and relationships, rather than independently audited measures.

The startup also gives more concrete examples of its research output: a study involving 1,392 consumers across seven countries for Cover Genius, 1,076 business leaders for Envoy and 302 IT decision-makers for CloudBolt. It says these projects were completed in days. The examples describe the scale of particular studies, not a promise that any research question can be settled on the same timetable.

The interviews can produce more than internal answers. GatherHQ says teams use their findings to create whitepapers, infographics and social content based on quotes and data. That connects the research process to the marketing work that often follows it, without making a simulated response equivalent to a quote from a real participant.

The founders are Mayank Mehta, Anand Thaker and Jay Flaherty. In their public launch, they describe prior work on PulseQ&A, acquired by Gartner, and Cooliris, acquired by Yahoo. GatherHQ is in Y Combinator's Fall 2026 batch, distinct from the founders' earlier companies.

The launch's larger ambition is continuous research embedded in an agent's workflow. Its immediate proposition is narrower and testable: when a team needs to understand buyers, it can inspect existing knowledge, ask real people or explore a simulation through the same infrastructure. Knowing which of those produced an answer will be essential to deciding how much confidence to place in it.

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