Stability AI Secures $76 Million Series B Funding from Industry Giants
Stability AI has raised a substantial $76 million in a Series B funding round, led by Universal Music Group, Warner Music Group, and Sony Music Group, alongside Electronic Arts and other investors.
According to the company, this round brings their total funding to an impressive $232 million. Despite not disclosing a specific valuation, Stability AI’s CEO, Prem Akkaraju, has steered the company since June 2024.
Funding Uses:
The capital will be allocated to enhance their product suite for creative production, deepen applied research, and expand professional services. This aligns with Stability AI’s current focus on providing purpose-built AI tools for professionals in music, gaming, and entertainment.
Strategic Partnerships:
Universal Music Group, Warner Music Group, and Sony Music Group have all formed strategic alliances with Stability AI. Universal and Warner have been partners since 2025, developing AI music tools together. While Sony is listed as an investor, a direct partnership remains to be announced.
Electronic Arts, another existing partner, contributed to this funding round, having previously signed an agreement to build models on their catalog and intellectual property.
Stable Audio 3.0 Launch:
The Series B funding follows the launch of Stable Audio 3.0, a family of open-weight music models trained on fully licensed data, capable of producing professional tracks exceeding six minutes. Musicians can access these models via a digital audio workstation plugin or web interface.
Licensing and Challenges:
Stability AI emphasizes the importance of responsible training data for AI models. They argue that to win over artists, licensed platforms must offer a superior experience compared to unlicensed tools. This claim highlights the company’s focus on product quality rather than ethical considerations.
Despite these strides, Stability AI continues to face copyright claims in other aspects of their business. These cases, alongside ongoing litigation with Suno, exemplify the challenges facing the generative AI industry.