Beatoven.ai has discontinued its B2C service after six years, with the company’s core team moving to Rusk Media to continue working on generative media.
The update was shared by co-founder Mansoor Rahimat Khan, who said the company had reached a point where competing in the consumer AI music market had become increasingly difficult.
Beatoven.ai was built around an approach that involved licensing music ethically and developing its foundational AI models in-house. According to Khan, the model became harder to sustain as heavily funded competitors entered the market with systems trained using large-scale scraped datasets.
Rather than continuing to compete in the B2C market, Beatoven.ai is now shifting its focus towards commercial applications of its technology.
The company’s core intellectual property remains with Beatoven Private Limited, including its Maestro model and music intelligence technology. Beatoven is currently exploring B2B licensing opportunities for the technology, particularly for commercial and enterprise applications involving music intelligence.
The company’s core team has been absorbed by Rusk Media, where it will continue working on generative media.
Khan described the six-year run as a period that provided lessons about both the music industry and the challenges of building AI products for consumers. Among them was the difficulty of retaining users once competition increases, despite user acquisition becoming easier at scale.
He also pointed to music licensing as a significant challenge for technology companies entering the space. Fragmented rights holders, multiple layers of licensing and industry gatekeepers can make it difficult for AI music companies to build products around properly licensed material.
The development of audio foundation models presented another challenge. Khan compared the process to developing a new musical instrument, where repeated iterations are required before the technology reaches a consistently usable level of sound quality.
Beatoven.ai is now in discussions around technology licensing, with the company looking for organisations interested in its Maestro model, music intelligence capabilities and underlying technology.
Beatoven.ai’s shift is an interesting example of how quickly the economics of AI music have changed. The consumer-facing AI music market has become crowded, making it increasingly difficult for smaller companies to compete on model development, user acquisition and infrastructure at the same time.
There is also a more complicated issue underneath the decision: the cost of building AI music responsibly. Licensing music properly can be expensive and structurally difficult, while companies using large amounts of scraped data may have fewer of those costs upfront. That creates an uneven competitive environment for companies trying to build models around licensed or permissioned material.
Beatoven’s move towards B2B licensing may therefore be more than a change in business model. For music companies, publishers, platforms and other enterprises looking to use AI without building their own audio technology stack, specialised models and music intelligence tools could become a more practical proposition.
The bigger question is whether the value in AI music ultimately sits with consumer-facing generation tools or with the underlying technology that can be licensed, integrated and adapted for specific industry applications. Beatoven.ai’s next phase will offer one example of how that market develops.
