September 30, 2026 — The voice AI company keeps climbing the ranks.
What happened
ElevenLabs is now reportedly worth $22 billion — double its price tag from February, when it raised $500 million at an $11 billion valuation. According to a Financial Times report published September 30, investors and employees at the London voice AI company sold $300 million in stock in a tender offer led by Wellington and T. Rowe Price. The FT puts ElevenLabs among the 10 most valuable AI labs outside China, and roughly on par with France’s Mistral, which raised €3 billion this month at a €21 billion (about $24 billion) valuation.
Why a secondary sale
CEO Mati Staniszewski told the FT the transaction brought in long-term institutional investors, including Goldman Sachs and Singapore’s GIC sovereign wealth fund, while giving employees liquidity and helping the company hire and retain AI researchers. “We are competing for talent with the biggest AI labs,” he said. “We need to stay competitive in that market, too.” In plain terms: when the biggest labs are bidding for the same researchers, a $22 billion valuation is a recruiting tool.
What it says about voice AI
ElevenLabs makes realistic speech-generation software — its Eleven v4 model launched just yesterday — and recently opened the Iconic Marketplace, a licensing platform that connects brands with the rights holders of iconic voices, from Mark Twain to Thomas Edison, through partnerships with agencies including CMG Worldwide. Voice AI has quietly become one of the most commercially deployed AI categories: podcasts, audiobooks, dubbing, customer service, and voice agents are all real revenue lines, not demos.
Why it matters
Valuations are a lagging signal of where money expects demand to go. A voice company worth $22 billion on secondary markets tells you voice is no longer a feature of other products — it’s an industry. And for a company we cover mostly as a tool vendor, the talent-war quote is the real story: the labs building voice AI are now competing directly with the labs building frontier models, which is exactly why their valuations are converging.
Sources: Financial Times (via PYMNTS), PYMNTS