Remesh

Unlike traditional focus groups limited to eight to twelve participants, Remesh sessions bring together large participant groups simultaneously, using AI to analyze, categorize, and surface the most resonant themes and representative opinions from the crowd in real time.

Researchers see live results during the session rather than waiting days for transcript analysis, dramatically accelerating the insight generation process.

The platform is particularly powerful for concept testing, brand perception research, employee experience measurement, and policy feedback collection in situations where both the statistical confidence of large samples and the nuanced depth of qualitative responses are needed simultaneously.

Participants submit open-ended text responses to researcher questions, and the AI processes these in real time identifying sentiment clusters, grouping thematically similar responses, and surfacing verbatim quotes that represent the most widely shared perspectives.

Researchers can then probe these emergent themes with follow-up questions in the same session, creating an adaptive dialogue with the entire audience at once.

Remesh integrates with existing research operations workflows, supporting panel recruitment through major research panel providers and exporting results in formats compatible with standard analysis and reporting tools.

Its security and privacy architecture meets enterprise compliance requirements, making it suitable for customer research at Fortune 500 companies and for sensitive applications in healthcare, financial services, and government contexts.