Use AI-native research workflows to uncover patterns and deeper insights while maintaining the rigor and traceability your findings demand.
Transcribe audio and video files and transfer them in an NVivo-ready format, straight to your project. Available in 43 languages.
Share projects and collaborate with your research team in real-time through a secure cloud workspace.
Get tailored licensing, flexible purchasing options, and expert guidance to help your team scale NVivo with confidence. Buying for a team? Join the waitlist to be first to hear about team plans.
Contact salesVolume pricing and co-term licensing for multi-user deployments
Flexible payment options including invoicing and enterprise terms
Expert consultation to match the right solution to your workflows
Use AI to surface topics, connections, and patterns across your research without working through every source manually.
Review, refine, approve, or reject AI-assisted work so your interpretation stays at the center of the research.
Follow insights back to their source evidence and keep a clear record of how your analysis developed.
Analyze interviews, literature, field notes, and other qualitative data for dissertations, academic studies, and publishable research.
Turn interviews, focus groups, and open-ended feedback into patterns and insights that help you understand customers and audiences.
Bring structure to stakeholder feedback, interviews, and program data while maintaining a clear path from evidence to findings.
Explore patient, community, and lived experiences through interviews, observations, and other qualitative research data.
Code and compare qualitative data to identify recurring themes, patterns, and connections across your research.
Develop codes, categories, and concepts iteratively as patterns and explanations emerge from your data.
Bring qualitative and quantitative data together to compare perspectives and build a more complete view of your findings.
Organize and explore research literature to identify recurring concepts, connections, and gaps across your sources.
Analyze interviews, stakeholder feedback, and other qualitative evidence to understand experiences, outcomes, and program impact.
Systematically code and categorize text and other source material to identify recurring patterns, topics, and meaning.