Listen Labs Raises $69 Million For AI Interview Platform
VentureBeat reported that Listen Labs raised $69 million in Series B funding at a $500 million valuation after completing more than one million AI-powered customer interviews.
Listen Labs raised $69 million in Series B funding to scale an AI customer-interview platform that has completed more than one million interviews, VentureBeat reported after speaking with founder Alfred Wahlforss.
Ribbit Capital led the round, with Evantic and existing backers Sequoia Capital, Conviction and Pear VC participating.
The financing values the company at $500 million and brings total capital raised to $100 million.
Funding Follows One Million AI Interviews
VentureBeat's account put Listen's annualised revenue growth at 15 times to an eight-figure level in nine months since launch.
The startup moved from 5 employees to 40 in 2024 and plans to reach 150 this year, while hiring engineers for roles across marketing, growth and operations.
The product replaces static surveys and slow qualitative projects with AI-moderated video conversations.
Users create a study with AI assistance, the company recruits participants, an AI moderator asks follow-up questions, and results are returned as themes, video highlights and presentation material.
Wahlforss told VentureBeat that survey respondents often choose from narrow options and can miss outliers, while human interviews are richer but difficult to scale.
Listen's pitch is that open-ended conversations can produce more useful customer evidence without waiting weeks for a conventional research cycle.
Fraud Filtering Shapes The Product
Participant quality is central to the system because paid research panels can attract false identities and low-quality answers.
Listen uses a quality guard that checks LinkedIn profiles against video responses, compares consistency across answers and flags suspicious patterns.
Emeritus, an online education company, was cited as a customer example.
Gabrielli Tiburi, Assistant Manager of Customer Insights, told VentureBeat that about 20 percent of its survey responses had previously fallen into a fraudulent or low-quality category, while Listen reduced the replacement burden to almost zero.
Microsoft also appeared in the customer evidence.
Romani Patel, Senior Research Manager at Microsoft, described research cycles that previously took four to six weeks; with Listen, insight can arrive in days and sometimes within hours.
Microsoft used the platform to gather customer stories for its 50th anniversary and Copilot-related material in one day, rather than the six to eight weeks a traditional process might have required.
Simple Modern used the service to test a product concept, launching a study after about two hours of preparation and receiving feedback from 120 people in 2.5 hours.
VentureBeat's customer examples also included Chubbies, which increased youth research participation from 5 to 120 participants by avoiding the scheduling limits of conventional focus groups.
Synthetic Customer Plans Add Governance Questions
The next product step is more speculative.
Listen is building tools to simulate customers from prior interviews and to trigger follow-up actions through agents, including code changes or customer-retention workflows.
Wahlforss acknowledged ethical concerns around automated decisions and described a plan to keep companies in the loop.
Data handling is another part of the enterprise pitch.
Wahlforss told VentureBeat that Listen does not train models on customer data, automatically scrubs sensitive personally identifiable information and can detect material non-public information when users mention it during research.
The new capital gives Listen room to pursue a large but fragmented research market that Wahlforss, citing Andreessen Horowitz research, placed at roughly $140 billion a year.
Pricing and independent fraud-audit results remain outside the public record.
