Funding

Fish Audio secures $50M seed round to expand AI voice models for enterprises

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Fish Audio secures $50M seed round to expand AI voice models for enterprises

Fish Audio, a startup specializing in AI voice models, has raised $50 million in seed funding to expand its offerings for creators and enterprises. The company, which now boasts 8 million users and $21 million in annual recurring revenue, plans to develop more advanced models and accommodate enterprise clients.

TL;DR

  • Fish Audio raises $50M seed round led by Coreline Ventures and Capital Today to scale AI voice models.
  • The startup's models are used by 8M creators and enterprises like HeyGen and Sanas, with $21M in annual recurring revenue.
  • Fish Audio plans to release an audio understanding model and a speech-to-speech model this year.

What happened

Fish Audio, based in Palo Alto, has raised $50 million in seed funding led by Coreline Ventures and Capital Today, with participation from 359 Capital, Parable, Play Time, Alphalist Partners, Bayhouse Ventures, Carya Venture Partners, and HF0. The startup, founded by former NVIDIA researcher Shijia Liao, has seen significant growth since its launch last year, with over 8 million users and $21 million in annual recurring revenue.

Fish Audio offers five models, including four speech generation models and one speech-to-text model. Three of its speech generation models are open-sourced, while the latest S2.1 Pro model is available only through its paid API. The startup provides paid monthly plans for creators and teams, as well as an enterprise version of its APIs and platform, which is already being used by organizations like HeyGen, Sanas, and Plaud.

The company has faced controversy over voice cloning without consent, leading to the implementation of an automated DMCA content take-down process. Fish Audio plans to release an audio understanding model and a speech-to-speech model this year.

Why it matters

For developers, Fish Audio's advanced AI voice models offer new tools for creating expressive and natural-sounding voices for various applications, from AI avatars to video game characters. The startup's open-source models provide a valuable resource for indie developers and creators.

For startup founders, Fish Audio's success in raising significant seed funding and attracting enterprise clients demonstrates the growing demand for AI voice technologies. The company's plans to release new models this year could open up new opportunities for innovation and collaboration in the AI voice space.

For tech investors, Fish Audio's rapid growth and impressive user base make it an attractive investment opportunity. The company's focus on developing advanced models and accommodating enterprise clients positions it well for continued success in the competitive AI market.

Key facts

  • Fish Audio raises $50 million in seed funding led by Coreline Ventures and Capital Today.
  • The startup has over 8 million users and generates $21 million in annual recurring revenue.
  • Fish Audio offers five models, including four speech generation models and one speech-to-text model.
  • Three of Fish Audio's speech generation models are open-sourced, while the latest S2.1 Pro model is available only through its paid API.
  • The company's models are used by enterprises like HeyGen, Sanas, and Plaud.
  • Fish Audio has implemented an automated DMCA content take-down process to address concerns over voice cloning without consent.
  • The startup plans to release an audio understanding model and a speech-to-speech model this year.
  • Fish Audio was founded by former NVIDIA researcher Shijia Liao, who trained a voice generation model on a single GPU and open-sourced it.

Context

Fish Audio's success in raising significant seed funding and attracting enterprise clients highlights the growing demand for AI voice technologies. The startup's focus on developing advanced models and accommodating enterprise clients positions it well for continued success in the competitive AI market.

The controversy over voice cloning without consent underscores the importance of ethical considerations in the development and deployment of AI technologies. Fish Audio's implementation of an automated DMCA content take-down process demonstrates the company's commitment to addressing these concerns and protecting the rights of creators.

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