AI agent delivers defensible research findings in minutes, setting new standard for accuracy and transparency in multi-modal analysis.

Remesh, the leading conversational research platform, announced the launch of Remy, an AI agent purpose-built for research that delivers instant, defensible insights backed by verifiable data citations. Unlike generic large language models, Remy is embedded directly into the Remesh platform with a proprietary retrieval-augmented generation (RAG) framework that ensures every insight is grounded in actual participant data.

Remy addresses a critical challenge: generic AI tools often generate fabricated insights, lack transparency, and provide no way to verify claims against source material. Researchers have been forced to choose between speed and defensibility—until now.

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“We believe that Remy expands what is possible on Remesh, and who is empowered to understand their products and audiences,” said Jessica Dubin, Chief Product Officer at Remesh. “If you have curiosity, and an interest in making decisions grounded in data, Remy will get you there.”

Remy analyzes Remesh conversations across Live, Flex, Video, and Data Imports, providing structured insights in approximately one minute including summaries and key takeaways, quantitative breakdowns from polls and rankings, qualitative themes with supporting participant quotes, and cross-segment comparison analysis.

“Remy surfaced some real nuanced nuggets that you can only discover as you start to play with the data. It is what I would expect a well-trained, master’s level researcher would be able to do,” remarked Patrick Hyland, Organizational Psychologist and Consultant at Remesh.

Remy for Analysis represents the first phase of Remesh’s vision for end-to-end AI-powered research, with plans to expand the agent’s capabilities across the entire platform—from discussion guide creation and AI moderation to live conversation facilitation.