Remesh
Remesh helps agencies, consultancies, and enterprise teams run large-scale customer and employee research with speed, depth, and AI-powered clarity.
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What is Remesh?
Remesh is an AI-powered hybrid insights platform that enables researchers to run live dialogues with audiences at scale—engaging hundreds or even thousands of participants simultaneously for deep human understanding faster than traditional research methods. The platform combines the depth of qualitative focus groups with the scale of quantitative surveys, using proprietary AI technology to analyze participant responses in real-time and surface consensus through innovative voting mechanisms.
Key features include Remesh Live for real-time engagement with up to 1,000 participants, Remesh Flex for asynchronous research with up to 5,000 participants, and Remesh Video for face-to-face nuance through video interviews. The platform offers AI analysis tools like Sentiment Analysis, Thematic Clusters, Auto Code, Percent Agreement Scores, automated Summarize functionality, and Remy—an embedded AI research assistant that helps build discussion guides and surface defensible insights. Additional capabilities include multi-language support across 35+ languages, discussion guide auto-translation, simulations for testing, Qualtrics import, and stakeholder backroom observer views.
Remesh is designed for insights professionals, marketing researchers, HR and people leaders, government officials, and anyone who conducts research to understand their audience. It serves market research use cases like concept testing, message testing, and foundational research, as well as employee research applications including employee listening, change management, culture assessment, diversity & inclusion, and organizational effectiveness. Organizations like PepsiCo, Nestle, and Segal Benz trust Remesh for their research needs.
Remesh pricing
Pricing model: Free
Remesh offers custom annual pricing tailored to each organization based on company size, specific feature needs, and contract length. The most common contract length is one year. Pricing is calculated based on these requirements and is not publicly disclosed—organizations must request a demo to receive a quote. Each contract includes a 90-day onboarding plan with dedicated consulting hours to ensure smooth implementation. Service bundle options are available including la carte purchases or savings with bundles that can include Discussion Guide creation, moderation, and Findings Reports. There is no free tier or free trial available.
Remesh pros
- SLashes time-to-insights from weeks to hours
- Engages up to 1,000 participants live simultaneously
- Flex mode supports up to 5,000 asynchronous participants
- Real-time AI analysis during live conversations
- Percent Agreement Scores reveal consensus instantly
- Built-in translation across 35+ languages for global research
- Auto Code automatically codes open-ended responses
- Thematic Clusters identifies key themes and segments
- Sentiment Analysis labels responses positive, neutral, or negative
- Remy AI assistant helps build discussion guides end-to-end
- Summarize generates automated summaries for questions or entire conversations
- Merge up to 10 Live or Flex conversations for cross-conversation analysis
- Import external data from Qualtrics or CSV for analysis
- Simulations let you practice and demo before going live
- SOC 2 Type II certified with annual third-party security audits
- On-demand recruit delivers vetted participants in under 24 hours
- Stakeholder backroom allows observers to watch conversations live
- On-the-fly probing enables ad-hoc questions during sessions
- Discussion guide suggestions from AI assistant improve question quality
- No data used to train or tune AI models for privacy protection
Remesh cons
- Custom annual pricing only—no transparent published pricing
- No free tier available for individuals or small teams
- Free trial not available
- 1-year contract length is standard (less flexible for short-term needs)
- Live conversations require a moderator to engage throughout
- Limited edits allowed to discussion guide after conversation starts
- Flex conversations cannot be reopened after 24 hours
- Video interviews cannot be reopened once ended
- Quota targeting not available for Video conversations
- Data silos can occur if not using merge features across sessions
Frequently asked questions about Remesh
What is Remesh?
Remesh is an AI-powered insights platform that enables organizations to engage their audience in broadscale online dialogues about complex topics. It combines the rigor of survey research with the depth of focus groups, allowing researchers to design and administer mixed-method studies that combine closed and open-ended questions. Participants enter an anonymous, online conversation where they express ideas in a psychologically safe environment, vote on each other's responses, and the platform's AI-enhanced analytic tools quickly explore, interpret, and summarize complex data. Insights are delivered in days rather than weeks needed for traditional research.
Who is Remesh designed for?
Remesh is designed for anyone who conducts research—professionals in insights, marketing, human resources, and government all use Remesh to better understand their audience. The platform is easy to use for junior-level team members while also having advanced capabilities tailored for expert researchers. Team roles can be assigned to give everyone the access they need to make meaningful contributions. Insights professionals use it for rapid concept and message testing, HR leaders use it for employee listening and change management, and government organizations use it for citizen engagement.
How does the Collective Dialogue System learn and predict behavior?
When participants vote on each other's responses, they only vote on a few responses since voting on every single response would be near-impossible. Remesh uses their voting behavior and responses to predict their level of agreement with every other response through predictive algorithms and artificial intelligence. The system can make sense of thousands of responses, predict voting tendencies, find the most representative responses, extract accurate themes, and more—all in record time with minimal effort.
Can I use Remesh analysis tools on data collected outside of the platform?
Yes. If you have data from Qualtrics or another survey tool but want to take advantage of Remesh's suite of AI-powered analysis tools, you can seamlessly import your external data into the platform. You can import Qualtrics data using your QSF and CSV with response data, or import text responses into the platform using a CSV template. All analysis tools, visualizations, and exports are available for imported data.
How does Remesh keep my data secure?
Remesh prioritizes data safety with SOC 2 Type II certification and annual third-party audits including comprehensive Penetration Testing reports. While utilizing AI for over a decade, they only recently incorporated Large Language Models following removal of the requirement to retain and utilize customers' input data. Data is not used to train or tune any models. Remesh adheres to OpenAI's Terms & Policies and specific API Data Usage Policies. These measures affirm their adherence to the highest standards for security and privacy.
What are the pricing options for using Remesh?
Remesh tailors pricing to each situation with annual custom pricing based on organization size, specific feature needs, and contract length. The most common contract length is one year, calculated based on company size and feature requirements. Each contract includes a 90-day onboarding plan encompassing dedicated consulting hours for smooth implementation. Service bundles are available for purchase à la carte or with savings, potentially including Discussion Guide creation, moderation, and Findings Reports. No free tier or free trial is available—organizations must request a demo for pricing.
What is the difference between Remesh Live, Flex, and Video?
Remesh Live connects with up to 1,000 participants live for real-time insights with timer-based responses, dynamic voting, and real-time probing—requiring a moderator. Remesh Flex connects with up to 5,000 participants asynchronously on their own schedule with no time limit, self-paced interactive experiences, and no moderator required. Remesh Video conducts video research either standalone or connected with Live/Flex conversations, supporting 10 interviews per conversation or 25 participants per interview, requiring a moderator for video engagement. Live is best for real-time brainstorming, Flex for participants across time zones, and Video for deeper follow-up insights with smaller groups.
What is Remy and how does it help?
Remy is Remesh's embedded AI research assistant built specifically for research, not guesswork. Remy helps users build discussion guides with AI suggestions, run conversations, and surface defensible insights across studies so teams can move faster without sacrificing quality. Remy provides grounded, defensible answers, supports research end-to-end, and offers multi-modal analysis. Remy is trained on Remesh Help Center documentation and can answer platform questions by pulling from existing help articles to provide clear answers with links to relevant documentation.
How many languages does Remesh support?
Remesh supports built-in translation across 35+ languages, with some sources indicating 40+ languages. Multi-Language Conversations allow both researchers and audience members to converse in their preferred languages, with translations occurring right in-platform. Discussion Guide Auto Translations automatically translate guides in over 30 languages. This capability enables researchers to have a single conversation with target audiences in multiple languages, reaching wider audiences and accessing global insights 250% faster for culturally relevant results.
What AI analysis tools does Remesh offer?
Remesh offers multiple AI-enhanced analytic tools including Sentiment Analysis (automatically labels responses positive, neutral, or negative), Thematic Clusters (identifies key themes and uncovers who is responding by segment), Percent Agreement Scores (estimates percentage of participants agreeing with responses based on voting behavior), Auto Code (automatically codes open-ended responses with editable tags), Summarize (generates automated summaries for individual questions, multiple questions, or entire conversations), and real-time data analysis. The platform also uses statistical analyses, natural language processing, and large language models to quickly explore, interpret, synthesize, and summarize complex data.