Remesh AI Analysis Platform

What is Remesh AI: Overview

Remesh AI is a hybrid insights and audience research platform built for organizations that need scalable qualitative and quantitative research. The platform allows businesses to engage customers, employees, and research participants through live discussions, asynchronous conversations, and video interviews. Its AI-powered analysis tools help researchers identify themes, sentiment, consensus, and emerging patterns while conversations are happening.

The platform includes tools for discussion guide creation, multilingual conversations, audience recruitment, simulations, automated summaries, and response coding. Remesh also offers an embedded AI assistant called Remy, designed specifically for research workflows. Companies use the platform for concept testing, employee listening, innovation research, customer feedback, and market exploration.

Remesh supports both small and large-scale research sessions, including live conversations with up to 1,000 participants and asynchronous studies with up to 5,000 participants. The platform is commonly used by research teams, consulting firms, HR departments, and enterprise organizations looking for faster audience understanding and decision-making.

Key Features of Remesh AI

• AI-powered real-time audience analysis and theme detection
• Live, asynchronous, and video-based research conversations
• Embedded AI research assistant called Remy
• Multi-language discussion support and auto-translations
• Automated summaries, tagging, and qualitative coding tools

How to Use Remesh AI: Step-by-Step

Here are the simple steps to start using the Remesh.ai platform.

Step 1. Create a research project inside the platform

Step 2. Build or import a discussion guide using AI suggestions

Step 3. Recruit participants or upload your audience list

Step 4. Choose a session format such as Live, Flex, or Video

Step 5. Run the conversation and monitor responses in real time

Step 6. Use AI tools to analyze themes, summaries, and sentiment

Step 7. Export insights and reports for stakeholders

Use Cases of Remesh AI

• Customer feedback and sentiment analysis
• Employee engagement and listening programs
• Concept and message testing
• Product innovation and idea validation
• Market and audience research at scale

Target Audience of Remesh AI

• Market research teams
• Enterprise organizations
• HR and people operations teams
• Consulting and research agencies
• Brand and innovation teams
• Customer experience professionals

Remesh AI Pricing

• Custom enterprise pricing model
• Pricing is not publicly disclosed on the official website
• Demo requests are available through the platform