Listen Labs, the AI-powered customer research platform founded by Alfred Wahlforss, has closed a $69 million Series B round, the company announced on 16 January 2026. The round values the San Francisco-based startup at $500 million and brings its total capital raised to $100 million.

The funding arrives as enterprise demand for faster, cheaper qualitative research continues to grow. Traditional market research firms, some with revenues exceeding a billion dollars, have been slow to move beyond the binary of quantitative surveys and small-scale human interviews. Listen Labs is among a handful of startups, alongside players in the broader AI research tooling space, attempting to collapse that trade-off using large language models and automated moderation.

Ribbit Capital led the round, with participation from Evantic and existing backers Sequoia Capital, Conviction, and Pear VC. Since launching nine months ago, the company says annualised revenue has grown 15x to an eight-figure run rate, and the platform has conducted more than one million AI-powered interviews. Listen recruits participants from a global panel of 30 million people, deploys an AI moderator to conduct open-ended video conversations, and delivers packaged reports, including slide decks and highlight reels, within hours. Customers include Microsoft, Sweetgreen, and Chubbies. Microsoft's senior research manager Romani Patel noted that insight cycles that previously took four to six weeks now complete in days.

The round signals continued investor appetite for vertical AI applications that attack large, fragmented incumbent markets with a clear workflow replacement story. The global market research industry is estimated at roughly $140 billion annually, according to figures cited by Andreessen Horowitz, and Listen's pitch rests on the argument that lower cost per interview expands total research volume rather than simply substituting existing spend. That dynamic, which Wahlforss frames through the Jevons paradox, is increasingly common in AI-native SaaS pitches, though whether it holds at scale remains to be seen.

The company plans to grow its headcount from 40 to 150 employees during 2026, with a stated preference for engineers placed across non-engineering functions including marketing and growth. A product roadmap shared with VentureBeat points toward synthetic customer simulation, drawing on accumulated interview data to model user responses, and eventually spawning autonomous agents to act on research findings. Wahlforss said guardrails ensuring human oversight would accompany those features before release.