Listen Labs Raises $69 Million to Scale AI Customer Interviews
Listen Labs raised $69 million after running more than one million AI-powered interviews, testing whether AI moderation can speed up customer research without sacrificing participant quality.
Listen Labs Turns AI Interviews Into a Funding Case
Listen Labs has raised $69 million in Series B funding for an AI customer research platform designed to make interviews as fast as software teams now expect product cycles to be.
Ribbit Capital led the round, with Evantic, Sequoia Capital, Conviction and Pear VC also participating.
The financing values Listen Labs at $500 million and brings its total capital raised to $100 million.
The company says it has grown annualized revenue 15x to eight figures in the nine months since launch, while running more than one million AI-powered interviews.
The Product Replaces a Survey-or-Interview Trade-Off
Listen Labs is built around an AI researcher that helps create a study, recruit participants, conduct open-ended interviews and turn the results into reports, highlight reels and slide decks.
The company says it draws participants from a global network of 30 million people.
Alfred Wahlforss, the startup's founder and chief executive, argues that surveys can produce shallow precision, while human interviews do not scale.
His narrower claim is that video interviews with AI follow-up questions can preserve more of the detail of qualitative research while shortening the time between a product question and a customer answer.
Customer Proof Is the Stronger Signal
Named customer deployments make the funding round more than a standard AI startup capital story.
For Microsoft's 50th anniversary work, Listen Labs gathered global customer video stories within a day; the comparable manual process would normally take six to eight weeks.
Simple Modern used the platform to test a product concept by spending about an hour writing questions, an hour launching a study and 2.5 hours gathering feedback from 120 people.
Chubbies said youth research participation rose 24x, from 5 to 120 participants, after the brand used Listen to avoid scheduling problems tied to traditional focus groups.
Emeritus reported a different operational result.
The online education company said about 20% of earlier survey responses had been fraudulent or low quality, while Listen reduced that problem to almost zero.
Listen says its quality controls check LinkedIn profiles against video responses, review consistency across answers and flag suspicious patterns.
The Next Risk Is Automated Decision-Making
The company is moving beyond interviews toward simulated customer voices and agentic workflows that could act on research findings.
Wahlforss said Listen wants companies to keep humans in the loop, and he said the platform does not train on customer data while automatically scrubbing sensitive PII.
That roadmap also creates the main checkpoint for enterprise buyers.
Listen Labs can point to Microsoft, Simple Modern, Chubbies and Emeritus as early proof that AI interviews can shorten research cycles.
Its next test is whether companies trust the same system when it moves from customer insight to simulated users and automated follow-up actions.
