Remesh AI

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Remesh: AI-powered conversational research—live, async, and video insights at scale.

Last updated Dec 15, 2025

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What is Remesh AI?

Remesh is an AI-powered insights platform for conversational research that unifies live digital focus groups, asynchronous surveys (Flex), and video interviews to deliver instant, multi-language analysis at scale. With capabilities for up to 1,000 participants in Live and 5,000 in Flex, real-time voting and Percent Agree metrics, built-in recruitment, and cross-session analytics, Remesh helps teams move from raw responses to decision-ready insights in hours. Its Collective Dialogue System—using machine learning, NLP, sentiment, and thematic clustering—automates coding and synthesis, while AutoSend moderation, stakeholder observer views, and an AI assistant streamline the entire research workflow.

Remesh AI's Top Features

Key capabilities that make Remesh AI stand out.

Live digital focus groups and surveys with up to 1,000 participants

Asynchronous Flex studies with up to 5,000 participants

Real-time analysis with AI summaries, sentiment, and thematic clusters

Collective Dialogue System for instant, automated coding and synthesis

Participant voting with Percent Agree metrics to surface consensus

In-platform translation across 35+ languages for global research

Video interviews with AI summarization and automated coding

Highlight clip selection for video (coming soon)

AutoSend for automated question delivery and moderation

AI assistant for guide creation and question refinement

Stakeholder observer/backroom views for live sessions

Cross-session and multi-conversation merging and analysis

Built-in email invitations and reminders for Flex

Remesh Recruit for rapid, vetted US/UK participant sourcing

Dashboards, segmentation, visualization, and export tools

Use Cases

Who benefits most from this tool.

Market researcher

Run large-scale live digital focus groups to explore attitudes, iterate stimuli, and prioritize ideas using Percent Agree metrics.

Insights manager

Field asynchronous Flex studies to validate concepts with thousands of participants on their own schedules.

Product manager

Test features, messaging, and usability prompts; quickly surface themes and sentiment with AI summaries and auto-coding.

HR/People analytics leader

Conduct employee listening at scale, gather open-ended feedback, and identify drivers with thematic clusters.

Customer experience (CX) lead

Capture voice-of-customer insights across markets with multi-language translation and real-time analysis.

Brand/Comms strategist

Evaluate creative and campaign narratives in live or async formats; spotlight top-performing messages via voting.

Academic/Public policy researcher

Run global, multi-language studies to understand public opinion and compare segments across geographies.

Research consultant/agency

Deliver fast-turn studies end-to-end using Recruit, Live/Flex, and automated analysis in one platform.

Innovation/UX team

Prioritize pain points and opportunities with participant-driven rankings and AI-backed thematic insights.

Global insights team

Merge multi-session, multi-language data for cross-conversation analysis and stakeholder-ready reporting.

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Tags

Conversational ResearchAI-Powered InsightsDigital Focus GroupsAsynchronous SurveysVideo InterviewsMulti-Language AnalysisLive VotingReal-Time MetricsBuilt-In RecruitmentCross-Session AnalyticsMachine LearningNatural Language ProcessingSentiment AnalysisThematic ClusteringCoding AutomationSynthesis AutomationResearch Workflow Automation

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Frequently Asked Questions

What is the Remesh platform?
Remesh is an AI technology for conversational research that turns text-based responses into instant insights, enabling both qualitative and quantitative studies in hours instead of weeks.
What are the main features of Remesh Live?
Remesh Live hosts real-time conversations with up to 1,000 participants, including timer-based responses, dynamic voting, probing, real-time analysis, AutoSend moderation, and stakeholder observer views.
What is Remesh Flex?
Flex enables self-paced, asynchronous research with up to 5,000 participants, offering interactive experiences, real-time monitoring, in-flight analysis, and the ability to merge multiple sessions.
Does Remesh support video research?
Yes. Remesh Video supports standalone or integrated video interviews and focus-group-style research, with AI summarization, automated coding, and highlight clip selection (coming soon).
What is Remesh Recruit?
Remesh Recruit delivers hundreds of vetted US and UK participants in under 24 hours at flat, transparent prices, enabling quick-turn studies from recruitment through insights in one platform.
How does Remesh handle global and multi-language research?
The platform supports Multi-Language Conversations with in-platform translation across 35+ languages, so researchers and participants can each use their preferred language—analysis and discussion guides included.
What powers Remesh’s AI analysis?
The Collective Dialogue System uses machine learning, natural language processing, predictive algorithms, sentiment analysis, thematic clusters, and Auto Code to analyze thousands of open-ended responses instantly.
What support options does Remesh offer?
Remesh provides flexible support—solo, supported, or fully managed—offering expert guidance, troubleshooting, and services to run research your way.
What is Percent Agree and participant voting in Remesh?
Participants vote on each other’s responses to surface what resonates; Percent Agree metrics show which ideas have the strongest support in real time.
Can I combine or analyze multiple sessions together?
Yes. You can merge data from multiple Live or Flex conversations—including different languages—and run cross-session analysis with consistent visualization, segmentation, and export tools.