Splice partners with ElevenLabs to build AI music tools

According to a press release reported by Music Business Worldwide and MusicTech, Splice has announced a partnership with ElevenLabs to build "next-generation AI-powered creative tools" using ElevenLabs' foundational music models, with products set to be released later this year. The press release states a shared commitment to building AI-based music tools that are "grounded in respect and fair compensation for artists". Kakul Srivastava, CEO of Splice, is quoted saying, "In this second wave of AI in music, the creator comes first," and Mati Staniszewski, CEO and co-founder of ElevenLabs, said, "Our models deliver studio-grade audio ready for commercial use." Music Business Worldwide reports Splice's catalog includes more than 3 million human-made, licensed samples. MusicTech also notes Splice's recent acquisition of Kits AI earlier this year.

Editorial analysis - technical context: Public reporting does not disclose model architectures, parameter counts, or integration specifics. The coverage describes ElevenLabs' capability set as extending from realistic text-to-speech into music and audio generation, and frames the partner integration as embedding ElevenLabs' studio-grade audio models into Splice's existing sample-driven workflows. For practitioners, the likely technical workstreams involved in such integrations include model inference optimization for DAW/plugin environments, sample-licensing provenance checks, and interfaces that map generative outputs to multitrack production workflows.

The partnership sits inside a broader pattern of music-tech companies combining licensed sample catalogs with generative audio models to offer composition and sound-design assistance. Splice is positioning these features alongside prior moves, including acquisitions and partnerships reported by MusicTech and Music Business Worldwide, that aim to make generative audio commercially usable while tracking compensation for original creators. For the audio-ML community, the deal underscores continued commercial demand for higher-fidelity generative audio models and product integrations that respect licensing constraints.

For practitioners and observers: monitor the companies for technical disclosures (model specs, inference latency targets, plugin or API formats), details on the sample-compensation mechanisms referenced in the press release, and the first public demos or beta programs when the tools are released later this year. Also watch how the integration handles provenance and rights metadata at scale, and whether the partnership publishes benchmarks or safety/ethics guidance tied to commercial use.