Marvin

By combining AI-powered transcription, automatic theme extraction, sentiment analysis, and a connected research repository, Marvin enables product teams, UX researchers, and customer success organizations to derive meaning from qualitative data in hours rather than the days or weeks that traditional analysis requires.

The platform's Deep Research capability is its most powerful analytical feature.

Without any manual annotation or labeling, Marvin's AI analyzes uploaded files to automatically highlight key themes, compare findings across different participant segments, and surface relevant connections to existing repository resources.

This automated synthesis compresses the most time-consuming phase of qualitative research the thematic analysis and cross-study synthesis into a process that takes minutes rather than days of researcher time.

Transcription with 40+ language support achieves high accuracy across diverse speaker accents and technical vocabularies. The annotation system allows researchers to press enter to bookmark key quotes and moments, with Marvin automatically writing a note and attaching the clip to the transcript.

This real-time annotation workflow means researchers can maintain natural conversation flow during interviews while simultaneously building a structured record of insights. Notes and labels link data across files, enabling cross-study synthesis in the central research repository.

The AI research repository serves as an organizational memory system a searchable, growing knowledge base of all research insights, customer quotes, themes, and findings accumulated across every study.