New updates have been reported about Listen Labs.
Claim 55% Off TipRanks
- Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions
- Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks
Listen Labs has raised $69 million in Series B funding to accelerate the expansion of its AI-first customer research platform, bringing its total equity financing to $100 million. The round was led by Ribbit Capital with participation from Evantic and existing backers Sequoia Capital, Conviction, and Pear VC, underscoring growing investor confidence in Listen Labs’ role in modernizing how enterprises capture and use customer insight. In the nine months since launch, the company has multiplied its annualized revenue by 15x to reach eight figures, interviewed more than one million people, and built a customer base of hundreds of enterprises worldwide, supported by a 30 million-person global panel that spans key demographic and professional segments.
At the core of Listen Labs’ offering is an AI interviewer that conducts human-like conversations with customers and prospects, then converts those discussions into decision-ready deliverables such as reports, themes, highlight reels, and presentation decks, creating a searchable repository of interviews that functions as a knowledge base for product, marketing, and growth teams. Enterprises are using the platform to address revenue-critical questions including churn reduction, cross-market usage gaps, product usability, message testing, brand perception tracking, and even customer diligence for investors. Early adopters report materially faster research cycles—cut from weeks to days—and more actionable, qualitative insight that is influencing product design, marketing strategy, and customer experience. CEO and co-founder Alfred Wahlforss positions Listen Labs as a system to embed the customer voice into every major decision, with the new capital likely to be deployed into product development, panel expansion, and go-to-market scale, as the company targets broader adoption among large enterprises and investors seeking richer, AI-augmented customer intelligence.

