ElevenLabs is a cutting-edge AI audio research and deployment company founded in 2022. The company specializes in advanced generative AI technologies for audio, focusing primarily on text-to-speech and AI voice generation, enabling realistic, versatile, and contextually-aware speech synthesis in dozens of languages. It was co-founded by Piotr Dąbkowski, a former Google machine learning engineer, and Mateusz Staniszewski, an ex-Palantir strategist, with the initial motivation to improve voice dubbing quality in films.
The company’s mission is to make content universally accessible in any language and in any voice, thereby shaping the future of communication to ensure content is understood by everyone, everywhere. Their AI models are tailored to meet the needs of everyday users, prosumers, and businesses alike, supporting applications ranging from voicing audiobooks and news articles, animating video game characters, aiding film pre-production, localizing media, to creating dynamic audio content for social media and advertising.
ElevenLabs’ technology also has significant accessibility impacts, restoring voices for those who have lost them and assisting individuals with accessibility needs in their daily lives. The company is committed to developing and deploying AI voices safely and responsibly, prioritizing ethical considerations as they innovate.
With headquarters in New York City, ElevenLabs has quickly grown to become a global leader in AI-powered voice technology, having raised substantial funding and garnered recognition as a leader in the voice AI development platform market. Their tools include text-to-speech, speech-to-speech, voice cloning, dubbing, and sound effects generation, serving multiple sectors such as media, entertainment, publishing, and healthcare training.
ElevenLabs continues to expand its impact with recent initiatives including opening a European headquarters in London and partnering with various organizations to support AI safety, innovation, and accessibility goals, while constantly pushing the boundaries of audio-related generative AI.