Boba is an AI copilot for generative discovery and qualitative research, built to quickly surface signals and trends from public sources.
Trend and signal research
Boba automatically scans the web to help answer complex qualitative questions by pulling together relevant context from multiple sources, including:
- Articles and news
- Reviews and industry write-ups
- Online discussions
It’s useful for exploring industry shifts across areas such as generative AI adoption in hospitality, as well as challenges in retail and pharma.
Support for product and business decisions
Boba helps teams turn scattered information into clearer takeaways for planning and analysis. Common workflows include:
- Breaking down company reports
- Summarizing key points from earnings calls
- Analyzing user sentiment toward brands and products (for example, from Reddit threads)
Who it’s for
Boba is designed for people who regularly work with qualitative inputs and need faster synthesis:
- UX researchers
- Product managers
- Marketers
- Business analysts
By reducing manual searching, Boba helps you spend more time interpreting findings and making decisions.
