Remesh
About Remesh
Remesh provides an AI-powered platform for large-scale qualitative research, enabling conversational data collection and analysis from thousands of participants. Its Collective Dialogue System uses machine learning and NLP to rapidly transform unstructured text into actionable insights, accelerating research cycles from weeks to hours.
<problem> Traditional qualitative research methods are time-consuming and struggle to scale, making it difficult to gather deep insights from large participant groups. Analyzing unstructured text data from numerous respondents often requires extensive manual effort, delaying the delivery of actionable intelligence. </problem> <solution> Remesh offers an AI-powered platform designed to streamline qualitative research by enabling large-scale, conversational data collection and analysis. The platform facilitates interactive focus groups, surveys, and in-depth interviews, transforming raw textual responses into structured insights rapidly. Its core technology, the Collective Dialogue System, leverages machine learning and natural language processing to analyze thousands of responses, identify key themes, and quantify participant sentiment. This allows organizations to accelerate their research cycles, moving from data collection to decision-making in hours rather than weeks. Remesh supports both live and asynchronous engagement models, providing flexibility for diverse research needs and participant availability. </solution> <features> - AI-powered Collective Dialogue System for real-time analysis of conversational data. - Support for up to 1,000 participants in live sessions and 5,000 in asynchronous Flex surveys. - Advanced analytics including sentiment analysis, thematic clustering, and Percent Agreement Scores. - Discussion guide import from Word or Excel, with AI-driven suggestions for question refinement. - Integrated participant recruitment options, including on-platform integration with Prolific and full-service recruitment. - Multi-language capabilities supporting over 30 languages for global research initiatives. - Simulation mode for testing and refining research designs with AI-generated responses. - Data import functionality for external sources such as Qualtrics, enabling unified analysis. - Flexible research modes: Live for real-time interaction and Flex for asynchronous data collection. - Auto-moderation features (AutoSend) to automate question delivery and allow for in-flight analysis. </features> <target_audience> The platform is designed for market researchers, insights professionals, HR departments, and government entities seeking to efficiently gather and analyze qualitative data from large participant pools. </target_audience>
What does Remesh do?
Remesh provides an AI-powered platform for large-scale qualitative research, enabling conversational data collection and analysis from thousands of participants. Its Collective Dialogue System uses machine learning and NLP to rapidly transform unstructured text into actionable insights, accelerating research cycles from weeks to hours.
Where is Remesh located?
Remesh is based in United States.
When was Remesh founded?
Remesh was founded in 2013.
- Location
- United States
- Founded
- 2013
- Employees
- 91 employees
- Investors
- Avid VenturesIcon VenturesLionbirdPlug and Play Tech Center
