Converso runs AI-powered voice interviews at scale for teams that need richer qualitative data without the overhead of manual research. Unlike static surveys or scripted calls, it listens and adjusts dynamically—following up on interesting answers, probing for specifics, and skipping irrelevant threads based on what each respondent actually says. Across sessions, it identifies recurring patterns, flags sentiment shifts, and generates automated summaries that translate raw conversation data into product, growth, and strategy recommendations. It's built for research teams, product managers, and UX researchers who need to interview dozens or hundreds of people and extract clear, structured signal from what they hear.