DataCamp Founder's Second Act: Conveo Raises $50M to Turn AI Interviews Into Consumer Intelligence Infrastructure

Conveo, an Antwerp founded consumer research technology company, has raised 50 million dollars in Series A funding to expand into the US market and develop its platform into a broader consumer intelligence infrastructure layer for enterprises.

The round was led by DST Global Partners and Balderton Capital, with additional participation from Visionaries, 6 Degrees Capital, and Y Combinator, bringing Conveo's total funding to 55.8 million dollars. DST Global Partners' involvement carries particular weight given the firm's history backing Facebook, Airbnb, and Spotify in their own early growth stages. Chief executive Dieter De Mesmaeker disclosed the round exclusively to Axios Pro, and told the outlet he expects to raise a further Series B round of between 50 million and 100 million dollars during the first half of 2027, suggesting the company sees this raise as one step in a considerably larger fundraising trajectory rather than a capstone event.

Conveo was founded in April 2024 by De Mesmaeker alongside Hendrik Van Hove. De Mesmaeker's path to Conveo carries its own backstory: more than a decade earlier, he pitched American investors on an education technology idea and was turned down, before going on to build that idea, DataCamp, into a leading edtech platform regardless. Eleven years later, armed with a similarly strong growth trajectory, he has now secured 50 million dollars in Series A funding for his second company on a considerably faster timeline than his first.

The company's platform uses AI to conduct and analyze in‑depth, moderated voice and video interviews at a scale and speed that traditional qualitative market research cannot match. Rather than functioning as an open‑ended survey tool, Conveo's AI moderates conversations the way a trained researcher would, keeping a study's objectives in mind throughout, listening for nuance and brand‑specific references, and probing for depth by building each question on the interviewee's prior answers. The company says more than half of the valuable insights its platform surfaces come specifically from these AI‑driven follow‑up questions, rather than from the initial scripted questions alone. Beyond video interviews, the platform also supports quantitative and mixed methods including MaxDiff analysis, price sensitivity testing, and diary studies.

Every insight gathered through Conveo's research is added to what the company calls a shared consumer intelligence layer, which teams across an organization can search using natural language and access through dashboards, AI agents, and integrations with existing enterprise software. That structure is central to Conveo's broader ambition: rather than treating each research project as an isolated deliverable that gets filed away once a report is produced, the company wants consumer insight to function as a persistent, queryable layer of organizational knowledge that any team, whether product, marketing, or strategy, can draw on continuously.

That ambition sits at the center of Conveo's newest product, StoryLines, which runs research continuously around topics strategically important to a company rather than treating each study as a standalone project. New findings feed into an evolving knowledge base that stays current and usable across teams over time, and according to Conveo, StoryLines has already secured multi‑million‑dollar enterprise contracts, an early signal that large customers are willing to pay a meaningful premium for continuous rather than periodic consumer intelligence.

Conveo has built substantial enterprise traction ahead of this round, with more than 400 companies using its platform, including more than 50 Fortune 500 firms such as Google, Unilever, AB InBev, and Canva. A particular emphasis on data quality and traceability underpins that trust: every insight and data point Conveo surfaces links back to its original interview transcript and video, an approach the company frames as central to avoiding the hallucination risk that has made some enterprises cautious about relying on generative AI for decisions with real commercial consequences.

Conveo enters a consumer research market that has drawn substantial capital across multiple competing approaches this year. San Francisco based Listen Labs, backed by Sequoia and Ribbit Capital, has raised 100 million dollars and could soon approach a 1.5 billion dollar valuation. Remesh, which conducts AI‑moderated online focus groups, has raised more than 50 million dollars from General Catalyst, while Voxpopme, an established video survey platform, has added AI moderation of its own to compete for similar enterprise business. Conveo differentiates itself partly through GDPR‑compliant hosting by default for European customers and by offering both the continuous data layer model represented by StoryLines and traditional one‑off research projects, giving it flexibility to serve enterprise customers with differing procurement preferences.

The broader market opportunity remains substantial. Companies collectively spend roughly 140 billion dollars annually on market research, with roughly a third of that going toward qualitative research specifically, the labor‑intensive practice of conducting in‑depth interviews to understand customer perceptions of products, flavors, and brands. Individual companies can spend enormous sums on this work; PepsiCo alone reportedly spends around 100 million dollars per year on qualitative research. Conveo's pitch is that AI can compress research timelines from months to hours while maintaining, rather than sacrificing, the depth traditionally associated with human‑led qualitative interviews, and with 50 million dollars in fresh capital and an ambitious Series B target already set for early 2027, the company is betting that enterprise appetite for that combination of speed and depth is only accelerating.