Remesh AI

What is Remesh AI?

Remesh AI is a platform that uses artificial intelligence to run real-time conversations with large groups of people. Many participants can share their thoughts and respond to each other simultaneously in an organized way, while machine learning analyzes the conversation as it happens to spot patterns, understand sentiment, and identify main ideas. This helps organizations gather feedback, conduct research, and engage audiences at scale, and make decisions based on what the whole group thinks.

Who created Remesh AI?

Remesh AI was created by Andrew Konya. The company was founded on January 18, 2019, with the goal of using AI to give groups a voice and help organizations have more meaningful conversations.

What is Remesh AI used for?

Remesh AI combines qualitative and quantitative analysis, presenting insights in real time. Its main uses include:

• Sentiment analysis and real-time audience analysis
• Concept, ad, package, shelf, and claims testing
• Market research and foundational research
• Employee research, engagement, and feedback
• Understanding political and government perspectives, and collecting constituent concerns
• Product and message development
• Change management support
• Faster, research-driven business decision-making

Compared with traditional focus groups, it can significantly reduce research time, cut down on follow-up needs, reduce risk and bias, and make insights accessible across teams.

Who is Remesh AI for?

Remesh AI is used by engineering and R&D teams, IT specialists, financial controllers and finance departments, marketing managers and teams, product managers and teams, research consultants and research departments, sales teams and account specialists/directors, and data scientists.

How does a Remesh AI session work?

A moderator creates a conversation and introduces a topic or question. Participants respond in real time while the AI processes responses, identifies themes, and organizes them. The moderator guides the discussion, highlights important ideas, and asks follow-up questions as insights are generated throughout the session. Afterward, detailed analytics and reports can be reviewed and used to inform decisions.