ElevenLabs
Create speech from text, clone a voice or dub recorded content into another language.
ElevenLabs Funding History
ElevenLabs is a US voice AI company that provides text-to-speech, voice cloning, dubbing, transcription and conversational agent products and APIs.
Company Overview
Founded 2022 · London, UK (US headquarters: New York)
Official WebsiteElevenLabs Funding Timeline
Series D
US$500 million
The financing supported ElevenAgents for enterprise workflows and further research in conversational voice and dubbing.
Led by Sequoia Capital.
Source · elevenlabs.io ↗Series C
US$180 million
ElevenLabs said it would fund research into more expressive voice models and expand its tools for developers and businesses.
Led by ICONIQ Growth.
Source · elevenlabs.io ↗Series B
US$80 million
Alongside the financing, ElevenLabs previewed Dubbing Studio, a tool for adapting video audio for other languages.
Led by Andreessen Horowitz, Nat Friedman, Daniel Gross. Participation included Sequoia Capital, SV Angel, Smash Capital, Broadlight Capital, Credo Ventures.
Source · elevenlabs.io ↗Series A
US$19 million
The company announced new generative voice products alongside the financing and said the proceeds would support voice AI research.
Led by Nat Friedman.
Source · elevenlabs.io ↗
ElevenLabs Founding Team
Mati Staniszewski and Piotr Dąbkowski grew up in Poland and met as teenagers in Warsaw. Their experience hearing the same voice read over foreign-language films helped inspire their work on AI dubbing and speech.
ElevenLabs Company Development
Voice Generation Became a Two-Way Interface
ElevenLabs’ text-to-speech and voice cloning work expanded into transcription and conversational agents. A voice system can now use the same vendor for listening and responding as well as producing recorded audio for dubbing or narration.
ElevenLabs Competitive Landscape
A Speech Service or a Conversation Stack
ElevenLabs and Deepgram overlap in speech technology. ElevenLabs’ product range includes synthetic voices, dubbing and conversational agents, while Deepgram’s offering is strongly associated with speech recognition and real-time voice APIs. Test the full conversation loop when both recognition and synthesis affect the outcome.
