Companies are constantly seeking faster and more cost-effective ways to understand their customers. Traditional research methods often require significant time and financial investment, limiting their scalability. To address these challenges, AI-powered solutions are being developed to optimize the process. One such tool is Conveo, which leverages artificial intelligence to automate and enhance customer research. By offering real-time insights, the platform aims to provide businesses with a data-driven approach to decision-making.
Compared to earlier AI-driven research tools, Conveo integrates video-based interviews and automated analysis, distinguishing itself from conventional survey approaches. Previous AI solutions primarily relied on text-based interactions or structured surveys, which lacked adaptability in understanding nuanced customer responses. Conveo’s ability to conduct real-time, interactive conversations and analyze them instantly marks a shift in how qualitative research is performed. Other AI firms have explored similar automation in research but have not combined multimodal AI with large-scale execution as Conveo has.
How Conveo Enhances Customer Research
Founded by Dieter De Mesmaeker and Henrik Van Hove, Conveo is an AI-powered market research platform backed by Y Combinator. The system automates customer interviews, allowing businesses to gather insights more efficiently than traditional methods. Companies can conduct hundreds of interviews overnight in multiple languages, significantly reducing time and costs. Unlike manual research, which requires extensive human effort, Conveo’s AI interviewer engages participants, asks follow-up questions, and extracts key insights.
“We combine decades-long research and strategic experience with deep technical expertise. Most of our competitors are only strong in one of the two areas whereas both are critical,” said CEO Dieter De Mesmaeker.
What Sets Conveo Apart?
Conveo differentiates itself through its ability to generate real-time insights by automating the entire research process. From setting up projects to conducting interviews and analyzing responses, the platform aims to streamline qualitative research. The AI interviewer mimics human researchers by following a structured topic guide and adapting to responses. More than half of the valuable insights are gathered from AI-driven follow-up questions, which dig deeper into participants’ thoughts.
In addition to automation, Conveo provides built-in tools to assist users in conducting research. These features make high-quality research accessible not only to market researchers but also to product management and marketing teams. Businesses using the platform can interact with Conveo’s AI coworker to retrieve existing insights or initiate new research, making data-driven decision-making more efficient.
Major brands such as Unilever, Orange, Sanofi, and Google (NASDAQ:GOOGL) have incorporated Conveo into their research processes. The platform is utilized for behavioral studies, user experience testing, branding, and communication assessments. Its application spans multiple industries, offering businesses a structured approach to analyzing consumer behavior.
Conveo recently secured $5.3 million in seed funding from investors including Y Combinator and 6 Degrees Capital. The funding will support further development and expansion of the AI research tool. The company aims to optimize research efficiency by minimizing time-consuming manual tasks and allowing professionals to focus on interpreting insights.
“We can’t imagine anyone doing it the old way two years from now. 90% of the time in qualitative research is spent on activities that can be automated, so researchers can spend time actually creating value from these insights,” said Dieter De Mesmaeker.
As businesses continue to prioritize data-driven decision-making, AI-based research tools like Conveo are gaining traction. The ability to conduct large-scale, AI-led interviews enables companies to uncover insights far more efficiently than traditional qualitative research. However, while automation can streamline processes, human expertise remains essential in interpreting the results. Organizations adopting AI-driven research should balance automation with strategic analysis to maximize the value of collected data.
