Remesh is a research platform for running conversations with large groups of participants, used for market research and employee listening. It runs three formats: Live conversations in real time, Flex conversations that run asynchronously at scale, and Video conversations. Participants vote on each other’s responses as they go, and the platform’s analysis surfaces themes, segments and patterns in real time so researchers can see where consensus and disagreement sit.
Remy is its embedded AI agent. Researchers describe a study and Remy drafts a research plan and discussion guide, then surfaces themes, cross-segment comparisons, summaries and key takeaways across qualitative and quantitative data, with citations tied to the underlying Remesh data for each statement, and it works across Live, Flex, Merge, Import and Video conversations. The site describes a proprietary agentic framework that combines frontier large language models with custom research tools and retrieval-augmented generation, without naming the model vendors, and says Remy comes free with any Remesh package. The pages reviewed do not say whether participant data is used to train models.
Pricing is not published, and buyers request a demo. The site lists Nestlé, Yum! Brands, Barclays, C Space and Ipsos as clients and states SOC 2 Type II, GDPR and CCPA compliance, all vendor-stated. The operator is Remesh Inc. of Cleveland, Ohio. Summaries of what participants said can drop nuance, so use the citations to check Remy’s outputs against the underlying responses.
