Groupt

By uploading a CSV file, users let Groupt's AI suggest relevant categories automatically and organize large volumes of unstructured text into meaningful, analyzable groups without manual tagging.

The platform is built around a core workflow that mirrors how skilled qualitative researchers already approach data: upload the dataset, let AI propose initial categories, review and refine the groupings, then generate reports that surface patterns and insights.

This human-in-the-loop approach ensures the AI's efficiency gains do not come at the cost of the researcher's contextual judgment and domain expertise.

Customer support teams use Groupt to categorize high volumes of inbound support tickets and customer feedback, identifying recurring issues and feature requests without reading every submission individually. Academic researchers apply it to interview transcripts and focus group data, accelerating the thematic analysis phase that traditionally requires hundreds of hours of manual coding.

Reporting and collaboration features allow findings to be shared directly from the platform. Team members can review category assignments, leave comments, and iterate on the analysis together, making Groupt practical for research teams and customer experience departments where multiple stakeholders need to interpret the same dataset.

Groupt operates on a freemium model. Free accounts can upload CSV files with up to 50 rows per file, suitable for small pilots and evaluation. Paid plans remove or raise row limits and provide full AI analysis without restrictions, with pricing based on usage volume.

This tiered approach makes it accessible for individual researchers while scaling economically for enterprise teams with large data volumes.