Why Enterprises Are Switching from Suno to the Homegrown AI Music Platform Mureka

Enterprise migration from Suno to Mureka

Short‑video platforms, AI creation tools and digital‑asset markets are increasingly replacing Suno with the domestic model provider Mureka. Model capability remains the primary driver, but stability, service efficiency and compliance also influence the decision.

Case studies

Sondo.ai

Sondo, a fast‑growing North American AI music creation platform, used Suno as its main supplier. The turning point was the launch of Mureka V8. V7.6 produced mediocre results, allowing Suno’s low price to dominate. V8 delivered a leap in vocal realism and musical completeness, prompting Sondo to switch all traffic despite higher per‑call cost.

After the switch, Sondo added voice‑cloning and remix features, increased collaboration volume by over 70 % , and doubled core music‑related business metrics. The business lead reported that the new vocals felt “more human” and eliminated a manual post‑processing step.

KuaiGe (快歌)

KuaiGe, a leading Chinese AI music generation app, previously ran multiple domestic and overseas models. Two factors attracted it to Mureka:

Model performance – V8’s high accuracy on Chinese songs and natural gender‑voice switching, plus V9’s added Studio editing.

Direct‑from‑vendor service – rapid technical support, first‑hand product‑iteration information and zero‑latency communication, which were unavailable with Suno.

Partnership volume grew by more than threefold . KuaiGe plans to launch an overseas version and prefers Mureka because over 90 % of its B‑side customers are overseas and the proven product experience can be reused.

Overseas music‑video generation platform

The platform has strict compliance and stability requirements, so Suno’s unofficial supply model was excluded early. After evaluating a few compliant vendors, including Google Lyria, Mureka secured the highest model‑call share.

Since integration, monthly consumption increased by over six times . The platform cited V8’s strong vocal realism, 60‑second song generation, and standout Chinese‑style performance, together with a stable API, transparent pricing and no hidden upgrade traps.

Trust deepened, allowing the platform early access to new Mureka model capabilities before public release, enabling rapid user‑feedback loops and product iteration.

Technical evolution

Early AI‑music competition focused on the binary question “Can it generate a song?” – a problem now solved. Enterprise customers need consistent quality, seamless workflow integration and reliable technical support. Issues such as fuzzy vocals, unclear mixing and inconsistent generation quality hinder large‑scale BGM supply for short‑video ads.

Mureka V8 addressed the “quality enough?” gap. In the Artificial Analysis benchmark, V8 ranked #1 globally in both Vocals and Instrumental, surpassing Suno, Udio and Minimax Music 2.5. This demonstrated that Mureka could be trusted for direct publishing, not just generation.

Mureka V9 targets the deeper question “Does the AI‑generated result match my creative intent?” Leveraging the proprietary MusiCoT technology, V9 improves five dimensions:

Paragraph‑level lyric placement accuracy.

Clearer mixing and timbre.

Vocal expression aligned with intent, reducing unwanted artifacts.

Faster generation from input to result.

Greater output diversity for the same creative direction.

Industry stage

The industry is moving from the first stage – “Can it generate a good song?” – to a second stage where enterprises evaluate stability, workflow integration and trustworthy support. From V8 to V9, Mureka consistently aims to turn technical capability into reliable, scalable business value.

Mureka now serves over 8,000 enterprise customers across short‑video, AI creation tools, digital‑asset markets and video production. On platforms such as LibTV, Mureka competes head‑to‑head with top international models like ElevenLabs, maintaining a model‑call share above 60 % .

These migrations signal a broader trend: as AI‑music technology reaches a clearer watershed, enterprise decisions become increasingly decisive.

Reference: mureka.ai