DigestAI news desk
OpenAI board member warns company is not on track to prevent catastrophic AI loss of control OpenAI launches Agents API beta for long-running cloud agents OpenAI solves Navier-Stokes problem, sparking academic controversy over data use RTK Token Savings Debunked: Cost Benchmarks Disagree The Waymo effect: AI making research less collaborative Meta’s Muse AI Agent Seeks User Trust with Secure Architecture Thelio Mira AI Linux Workstation with 192 GB GPU Memory Claude No Longer Available to Minors
Business & Funding updated 2 min read

Listen Labs scraps $1.5B round amid reported $2B Salesforce acquisition talks

AI market research startup Listen Labs has abandoned a signed $125 million Series C term sheet at a $1.5 billion valuation, a rare move in venture capital. The decision appears linked to ongoing acquisition discussions with Salesforce, which reportedly aims to buy the company for approximately $2 billion. Although the deal is not finalized, the potential exit has stalled the independent funding…

1 source

Key points

  • Listen Labs terminated a signed $125M Series C term sheet at a $1.5B valuation to pursue acquisition talks.
  • Salesforce is reportedly negotiating to acquire Listen Labs for approximately $2 billion, a 67x revenue multiple.
  • The startup generated $30M in annualized revenue, outperforming rival Simile, which recently raised at a $2B valuation.

Listen Labs, founded in 2023, uses voice AI to automate customer interviews and generate insights for Fortune 500 clients like Microsoft and Anthropic. The three-year-old company currently generates around $30 million in annualized revenue, significantly outpacing competitor Simile. Simile recently secured a $200 million Series B at a $2 billion valuation, setting a high benchmark for the sector.

If negotiations with Salesforce fail, investors expect Listen Labs to return to the market targeting a valuation of $2 billion or more. However, some experts question whether a 67x revenue multiple is justifiable for the CRM giant, suggesting the acquisition might not proceed if Salesforce deems the price too steep.

Full story from TechCrunch AI · by Marina Temkin Open source ↗

AI research startup Listen Labs scrubbed a $1.5B funding round for Salesforce talks

TechCrunch AI · 10 September 2026

Listen Labs, a market research startup that uses voice AI to conduct customer interviews, recently signed a term sheet for a $125 million Series C at a $1.5 billion valuation, with Menlo Ventures set to lead the round, according to several people with knowledge of the matter.

But that round never closed, the people said. Listen Labs walked away from the signed term sheet, a rare occurrence in the venture world and one that is generally frowned upon, according to VCs.

The financing likely collapsed because of acquisition talks with Salesforce. The CRM giant has recently held talks to buy Listen Labs for around $2 billion, Business Insider reported. The discussions are not finalized, however, and may not result in a deal, the outlet notes.

Listen Labs is one of the leading startups in the rapidly growing field of automating customer research with AI. The three-year-old startup has about $30 million in annualized revenue, about three times more than Simile, a competing startup that predicts human behavior, according to two people familiar with the companies’ financials. In late July, Simile announced that it had closed a $200 million Series B at a $2 billion valuation led by Greenoaks — likely setting a new valuation benchmark for Listen Labs, one person said.

If talks with Salesforce collapse, several VCs told TechCrunch that they expect Listen Labs to return to market and target a valuation of $2 billion or higher.

While acquiring Listen Labs could strengthen Salesforce’s AI capabilities by using the startup’s AI to help predict customer needs, the CRM giant may ultimately decide that paying a 67-times revenue multiple is too steep a valuation, according to a person with experience negotiating exits to Salesforce.

Listen Labs, Salesforce, Menlo Ventures, and Simile did not immediately respond to requests for comment.

Listen Labs was co-founded in 2023 by Florian Jüngermann, a former German national champion in competitive computer programming, and Alfred Wahlforss, who previously founded a staffing startup called Bemlo. The two met while pursuing master’s degrees at Harvard.

Listen Labs’ AI develops survey questions and interviews customers over audio or video. The resulting conversations are then packaged into reports and PowerPoint presentations, similar to those traditionally produced by human market researchers.

Fortune 500 companies rely on this type of research to gauge customer needs and satisfaction with their brands and products, but traditional market research is expensive and can take weeks to complete.

Listen Labs’ technology helps reduce the time and cost of these projects, enabling companies to quickly understand how customers are reacting to product changes and iterate on them more efficiently.

The startup’s customers include Microsoft, Canva, Anthropic, and Sweetgreen. Listen Labs and Simile aren’t the only startups using AI to disrupt the customer research market.

Besides Simile, competitors in the space include Outset, Keplar, and Aaru. While some platforms automate interviews with real humans, others startups — like Aaru and Simile — take a synthetic approach, using AI to simulate human behavior and predict responses without interviewing anyone at all.

Listen Labs was previously valued at $500 million when it announced a $69 million Series B round in late January led by Ribbit Capital, with participation from returning backers Sequoia, Conviction, and Pear VC.

This text was published by TechCrunch AI and written by Marina Temkin. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us.

Comments

via GitHub Discussions

Related stories