Conducts AI-led video interviews for market research, transcribing, translating, and summarizing insights automatically.
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Conveo is an AI-powered video interview platform specifically designed for the market research industry, created to streamline the entire process from initial study design to final results analysis. The platform's core value lies in its ability to automate the interview process itself, using an AI interviewer to conduct sessions, which immediately reduces logistical overhead and participant scheduling friction. This allows research teams to gather qualitative insights at a scale and speed previously difficult to achieve with traditional human-led interviews, making deep conversational data more accessible and actionable.
Key features include an AI agent that autonomously conducts video interviews based on a researcher's study design, asking follow-up questions in real-time. It provides immediate, automated transcription of all interview recordings and supports translation of these transcripts into multiple languages. The system generates AI-powered summaries of key insights and themes from the conversations, and includes a conversational chat interface that allows researchers to ask specific, follow-up questions of the interview data to drill down into nuances and uncover deeper patterns without manually reviewing hours of footage.
What makes Conveo unique is its end-to-end automation of the qualitative interview workflow, positioning the AI not just as an analysis tool but as the primary interviewer. This technical approach likely involves natural language processing for real-time dialogue management and sentiment analysis, coupled with speech-to-text and machine translation engines. The platform is a web-based application, designed for seamless use by both researchers and participants without complex software installations, and it focuses on a tightly integrated suite of tools rather than relying on external integrations for its core functionality.
Ideal for market research agencies, in-house insights teams at consumer brands, and UX researchers who need to conduct frequent, qualitative studies with target audiences. Specific use cases include concept testing for new products, understanding customer pain points and journeys, gauging brand perception, and conducting international research where language barriers are a concern, enabling faster iteration and data-driven decision-making.