Remesh
Conversational research software for enterprise insights teams.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Remesh Inc.
- Entity type
- COMPANY
- Founded
- 2014
- Headquarters
- Cleveland, OH, US
- Company size
- 50–200
- Market role
- MarTech Vendor
- Official website
- remesh.ai
What Remesh does
Remesh operates a hybrid B2B model centred on research workflow software with attached services. The platform creates value by unifying study design, respondent engagement, recruitment, moderation, and AI-assisted analysis in one environment, reducing the time and coordination normally required across separate survey, panel, and reporting tools. It then expands account value through usage-based recruitment and optional managed services for clients that need execution support.
Category differentiation
Remesh is not a general consumer survey site or a standalone panel company. It is a B2B conversational research platform with integrated recruitment, AI-assisted analysis, and optional managed research services.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Remesh is a US-based private B2B software company that provides a conversational market research platform for enterprise insights teams, researchers, agencies, and product and brand teams. Its core platform combines qualitative and quantitative research workflows, allowing customers to run live moderated sessions, asynchronous conversational surveys, video interviews, participant recruitment, and AI-assisted analysis within a single system. The company makes money through a hybrid model of enterprise software contracts, usage-based participant recruitment pricing, and managed research services. In addition to the core platform, Remesh sells recruitment and sample sourcing capabilities and offers expert-led research execution for clients that want partial support or full outsourcing. Its commercial focus is therefore on speeding up research design, fieldwork, and analysis for business buyers rather than serving consumers directly.
Company news briefing
Briefing updated:
Remesh has launched Remesh Connect, a capability linking its workspaces and AI research agent, Remy, to external LLM clients like Claude and ChatGPT via a Model Context Protocol (MCP) server. This integration facilitates enterprise data ingestion from systems including Google Drive, OneDrive, and SharePoint, allowing teams to analyse past survey exports and manage conversations within external AI tools. Additionally, the company has detailed a conversational approach to tracking research challenges over time.
Business model & monetisation
Remesh uses a blended monetisation model. The core platform is sold as enterprise SaaS through annual or custom contracts, likely via direct sales. Recruitment revenue is usage-based, with pricing tied to conversation type and participant minutes. The company also generates service revenue from managed research support, full-service project execution, and standalone sample sourcing. This produces a mix of recurring software revenue, variable usage revenue, and project-based service fees.
- Core research platform contracts
- Software Subscription
- Participant recruitment and conversation-based pricing
- Percentage Take-Rate
- Managed research services
- Service Fee
- Standalone sample sourcing services
- Service Fee
Products & capabilities
No products with linked sources are available in this view.
Products & market categories
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
What Really Drives Outcomes: Why key driver analysis needs more than one method
Recorded impact score: 5/5
New article published on Remesh resources page: 'What Really Drives Outcomes: Why key driver analysis needs more than one method' by Team Remesh, dated September 9, 2026.
From Question to Defensible Decision: 2026 at Remesh So Far
Recorded impact score: 5/5
New article published on September 9, 2026, authored by Anthony Lam, discussing Remesh's progress in 2026.
Tracking Challenges Over Time: A Conversational Approach
Recorded impact score: 3/5
Advanced Research Tracking Challenges Over Time: A Conversational Approach Read Article Team Remesh August 26, 2026 Employee Research Articles
Remesh Launches Remesh Connect
Market Research & AI Integration · Recorded impact score: 2/5
Remesh announced the general availability of Remesh Connect, a capability that connects Remesh workspaces and its AI research agent Remy to external LLM clients (e.g., Claude, ChatGPT) via a Model Context Protocol (MCP) server and enables enterprise data ingestion from systems like Google Drive, OneDrive, SharePoint, HRIS, BI and survey archives. The integration allows teams to access and manage Remesh conversations, run Remy’s analysis inside supported AI tools, import past survey exports (including Qualtrics), and use full exports and APIs to avoid vendor lock-in. Access is authenticated, scoped to user permissions, and rate limited; enterprise integrations typically require setup with the Remesh team.
- Remesh announced the general availability of Remesh Connect.
- Remesh Connect lets supported LLM clients connect to a Remesh workspace via Remesh’s Model Context Protocol (MCP) server to access Remesh data and Remy’s analysis.
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Questions about Remesh
What is Remesh?
Remesh is a B2B conversational market research platform that helps organisations run qualitative and quantitative studies with integrated AI analysis, recruitment, and optional services.
Who uses Remesh?
It is used by enterprise insights teams, market researchers, agencies, product teams, brand teams, and research operations teams.
How does Remesh make money?
Remesh makes money through enterprise software contracts, usage-based recruitment pricing, and managed research and sample services.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
20 publicly documented primary sources and citations linked across the market graph.
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