Listen Labs

Listen Labs

Automates AI-driven customer interviews and insights

Overview

Listen Labs provides AI-powered customer feedback and market research services that run personalized interviews at scale for both businesses and consumers. Its offerings include usability testing, churn analysis, and ethnographic studies, with participant recruitment drawn from a large pool or integrated from other providers. The core product automates the interview process and produces detailed, actionable reports on customer sentiments, brand perception, and product feedback. This enables faster, data-driven decision making and strategic insights. Compared with competitors, Listen Labs emphasizes scalable, automated interviewing across diverse demographics and a broad service set, delivering insights quickly through subscription and service charges. The company's goal is to help organizations understand what customers think and feel about their products and brands so they can improve experiences and outcomes.

About Listen Labs

Simplify's Rating
Why Listen Labs is rated
B
Rated B on Competitive Edge
Rated A on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Consumer Software

Enterprise Software

AI & Machine Learning

Company Size

51-200

Company Stage

Series B

Total Funding

$96M

Headquarters

San Francisco, California

Founded

2023

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Simplify's Take

What believers are saying

  • Listen Labs raised $69 million in January 2026, reaching $100 million total funding.
  • Listen says annualized revenue grew 15x in nine months, reaching eight figures.
  • Listen is hiring across engineering, growth, revenue, and customer success, signaling expansion.

What critics are saying

  • Qualtrics launched AI CX agents in March 2026, attacking Listen’s core workflow.
  • UserTesting and dscout launched AI research tools in 2026, compressing Listen’s differentiation.
  • Listen’s panel-driven model faces GDPR, consent, and data-breach exposure across geographies.

What makes Listen Labs unique

  • Listen Labs runs thousands of AI voice interviews simultaneously across 100+ languages.
  • Listen Labs claims a 30 million-person panel and one-million interviews, serving Microsoft and Sweetgreen.
  • Listen Labs packages interviews into reports, highlight reels, decks, and searchable knowledge bases.

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Funding

Total Funding

$96M

Above

Industry Average

Funded Over

3 Rounds

Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Above Average

Industry standards

$35M
$45M
Linktree
$65M
Substack
$69M
Listen Labs
$100M
ClickUp

Benefits

Company Equity

Performance Bonus

Growth & Insights and Company News

Headcount

6 month growth

-1%

1 year growth

5%

2 year growth

-14%
Gate.com
Aug 4th, 2026
AI Startup Listen Labs Raises title25 Million at title.5 Billion Valuation | Gate News

According to The Information, AI startup Listen Labs raised $125 million in a funding round at a $1.5 billion valuation.

The Information
Aug 4th, 2026
A Customer Feedback Startup Is in Talks For $125 Million Financing Led By Anthropic Investor

AI that generates realistic voices has come a long way. It powers applications like ChatGPT, phone-based customer support and increasingly helps businesses solicit verbal feedback from their customers about products or experiences.One AI startup in that field is San Francisco-based Listen Labs, ...

Sequoia Capital
Jun 5th, 2026
Listen Labs scales voice interviews with AI agent, serves 20% of Fortune 500

Listen Labs, founded by Alfred Wahlforss, has built an AI agent that conducts thousands of simultaneous voice interviews to understand customer behaviour. The platform, which launched a year ago, now serves 20% of the Fortune 500, including Microsoft, Anthropic and Sweetgreen. The company maintains an audience of 30 million participants, ranging from oncologists to software engineers. Its AI agent conducts video interviews, analyses emotions and facial expressions, and provides recommendations based on the conversations. Listen Labs found that people are more honest with AI interviewers than humans, answering more consistently across repeated questions. The startup spends 80% of its engineering resources building its audience database, creating detailed profiles to identify specific customer segments. The company aims to expand its audience to one billion people whilst developing simulation capabilities to predict customer responses.

TechAnnouncer
Mar 18th, 2026
Listen Labs raises $69M to scale AI-powered customer research globally

Listen Labs, a San Francisco-based AI-powered customer research startup, has raised $69 million, bringing its total funding to that amount across three rounds since its founding in 2023. The Series B round, which closed in January 2026, was led by Sequoia Capital and Ribbit Capital. The company uses artificial intelligence to automate and scale qualitative customer interviews, conducting thousands of voice and video sessions simultaneously across multiple languages. Its platform transcribes, analyses and generates insights from customer conversations, enabling businesses to gather global feedback in real-time. Founded in 2023, Listen Labs currently ranks 33rd among 721 active competitors in the customer research space. The funding will support product development, global expansion and enhanced AI capabilities, positioning the company to compete with established players like Faraday and dscout.

Neo
Feb 3rd, 2026
Listen Labs raises $100M Series B as Neo portfolio companies secure funding

Neo's portfolio companies announced several major deals in January. Topos Bio raised $10.5 million in seed funding to develop drugs targeting proteins involved in Alzheimer's and cancer. Chai Discovery partnered with Eli Lilly to accelerate medicine development, whilst Listen Labs secured $100 million in Series B funding for its customer insights platform. Meanwhile, community members made significant contributions. Alex Cui, CTO of GPTZero, and his team discovered AI hallucinations in over 50 papers published at NeurIPS 2025, with their findings gaining widespread attention. Kalshi is now powering Coinbase's entry into prediction markets. Neo scholars and founders also shared insights, including experiences building at Cognition and perspectives on AI in customer support.

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