Conveo is an end-to-end, AI-led market research platform designed to help researchers manage every part of a study — from design to reporting — more efficiently. Its tools can set up quantitative, qualitative, or mixed-method studies, identify the right participants, and analyze video, audio, and text recordings within minutes.
“Our AI researcher can design quant, qual, and mixed-method studies,” explains Niels Schillewaert, Head of Research & Methodologies. “It probes like a seasoned interviewer who knows every niche out of the box.”
Niels Schillewaert
Once the data is collected, Conveo’s system can automatically transcribe, translate, code, and analyze materials, then help teams create reports in their preferred format — slides, documents, or videos. Schillewaert notes that the platform is fully multimodal, capable of detecting facial expressions, tone, objects, and brands, adding layers of context to traditional transcript-based insights.
Evolving Capabilities
Initially recognized for its AI qualitative research capabilities, Conveo has since expanded into quantitative work and multimodal analysis. “Many still see us as an AI moderator only,” says Schillewaert. “But we’re actually end-to-end — we even generate slides.”
This shift reflects a broader evolution in how researchers are using AI to handle increasingly complex data sets and deliver more complete stories. The company sees particular promise in combining human interpretation with automated analysis to bring both speed and depth to projects.
Communicating Insights Across Organizations
Conveo’s approach to insight delivery emphasizes how research findings move through organizations. Schillewaert describes what he calls a “push and pull” model for sharing results.
“Push means AI will identify which insights are relevant for which stakeholders and deliver them proactively,” he explains. “Pull means that study results will live inside enterprise-approved AI systems and can surface whenever relevant.”
He believes that this kind of integration could make it easier for researchers to tailor stories for different audiences and to connect research outcomes back to business results more effectively.
The Future of Research Methods
As data streams proliferate, Schillewaert says the company’s focus remains on methodological innovation. “We’re at the forefront of developing methods and believe the future is AI-led,” he says. Still, some challenges remain familiar. “Recruiting will probably always be the hardest piece,” he admits.
Conveo works with a range of clients — traditional researchers, UX teams, and downstream stakeholders in marketing and innovation. Measuring the broader business impact of insights, Schillewaert says, is an ongoing effort across the industry. “Compared to traditional research, it’s easier for us in some ways,” he says, “but the bigger picture remains a challenge.”
Goals and Growth
In the near term, Conveo is focused on improving speed to insights and insights longevity — helping clients shorten cycles while ensuring findings stay accessible over time. Schillewaert says that clients often approach the company with projects that would have been difficult to execute before AI tools became mainstream.
“They’ll bring us ideas that weren’t possible before,” he says. “Someone might want to interview 500 people while they’re cooking — something that would take an army of moderators to do manually.”
The company’s long-term aim is to build on that flexibility and expand its reach globally.
Joining the Insights Association Community
Conveo joined the Insights Association to connect with peers and learn from others in the industry. “Going to CRC and learning more about IA was a great start,” says Schillewaert. “We’re looking forward to meeting many others in the industry and exchanging ideas.”
From Idea to Implementation
The company’s founding story reflects a researcher’s desire to simplify a time-consuming process. The idea emerged from firsthand frustration with conducting interviews and manually analyzing transcripts.
“The founder believed the technology was ready and the opportunity was there,” says Schillewaert. “He applied to Y Combinator, was accepted, and that early validation helped shape Conveo’s path.”
That early spirit of curiosity still drives the team today. “We get surprised every day,” Schillewaert says. “Maybe that’s the most surprising thing — realizing how often your assumptions about how the world works turn out to be wrong.”