2026 will be a year of testing what CORPUS can actually become. 10/10

On this foundation, the community can grow – and with it, an infrastructure for music that connects expressive richness with technical robustness and legal clarity. 9/10

On this basis, a corpus of well over 100,000 tracks could emerge in the coming months. 8/10

In parallel, we are working with catalogue holders who are willing to integrate their repertoires into our licensing framework – an important signal of trust. 7/10

From March onwards, the CORPUS community platform will be publicly accessible. The goal is to invite musicians to contribute to a diverse, legally compliant, and semantically structured music library. 6/10

This gap is precisely where CORPUS operates. 5/10

We are already in concrete conversations with industry partners, particularly in the automotive sector, who want to deploy adaptive, generative sound systems but currently lack solutions that are both technically viable and legally robust. 4/10

2025 was about building the platform: technically, conceptually, and organisationally.
2026 will be about exposing CORPUS to reality: users, partners, constraints, and applications. 3/10

We began by reconstructing what 2025 actually produced. For some newer team members, much of this history was new. From there, the discussion moved to a more concrete question: what 2026 must deliver. 2/10

If you want to be part of the first group testing the platform, you can join our waitlist.
Early access starts in December, and we’re keeping the first round small to make sure everything runs on solid foundations.
→ journal.crps.ai/waitlist/

Photos and the full livestream are available in the journal. (journal.crps.ai/corpuslive)

#corpusai #musicai #creativetech #musiclicensing #sofilab

AI-Generated Accompaniment and Backing Tracks:

When a songwriter has a melody or chord progression but no full arrangement, AI tools can help by generating supporting parts—basslines, pads, counter-melodies—that fit the musical context.

AI for Audio Inpainting and Track Extension:

One of the most promising uses of generative AI in music is audio inpainting—the ability to fill in gaps or extend recordings in a musically coherent way.

AI for Early Inspiration and Idea Generation:

New apps allow anyone to create full songs in seconds by selecting a style or entering a prompt. Many users treat these tracks as rough drafts or mood sketches.

Voice Cloning and AI Vocalists:

Perhaps the most headline-grabbing innovation is AI voice cloning – the ability to closely mimic a singer’s voice with a model.

Timbre Transfer (Audio Style Transfer):

For example, you could hum a melody and have it come out sounding like a violin, or take a piano piece and transform it so that it’s played by an electric guitar.

Stem Separation (Source Isolation)

This was used by the production team behind The Beatles to create a “final” Beatles song in 2023 – engineers employed AI-powered stem separation to isolate John Lennon’s voice from a lo-fi 1970s cassette demo, enabling a new studio arrangement around his vocals.