LALAL.AI has reportedly made its first embedded hardware integration, placing its stem-separation engine inside Neko, a compact wireless AI studio developed by Neko Engineering for guitar players. The reported integration separates a track into vocals, drums, bass and guitar in real time while running entirely offline.
According to the original report from Fame Magazine, the system was unveiled at IBC2026 in Amsterdam. Rather than sending files to a browser-based service or cloud server, processing takes place locally on the device.
Key Takeaways
- LALAL.AI's separation engine is reported to run natively in Neko hardware, rather than solely through browser-based processing.
- The device is said to split audio into vocals, drums, bass and guitar in real time without an internet connection.
- Local processing could be useful for live performance, DJ preparation and sessions where uploading material is impractical or undesirable.
- Neko is reported to be available for pre-order at $349, with a Kickstarter launch planned for October 2026 and shipping expected to begin in 2027.
- The supplied information does not establish detailed audio quality, latency figures, I/O, file support or how the hardware fits into a conventional studio or DJ rig.
What has changed
Stem separation is already widely available in desktop apps, DAWs, plugins and online tools. The notable part of this announcement is not the ability to extract stems itself, but the reported move to dedicated, on-device hardware.
LALAL.AI says its processing can now be used without a network connection or the delay and recurring processing costs associated with cloud inference. Its existing LALAL.AI platform remains centred on extracting parts from finished audio, while the company has also been developing local processing through its Lyra stem-separation technology.
For this Neko integration, the reported four-way split is vocals, drums, bass and guitar. That is a practical set of categories for a guitarist wanting to remove or reduce an original guitar part, isolate a rhythm section for rehearsal, or bring an accompaniment track into a performance setup.
The report also says LALAL.AI is presenting local separation applications for broadcast, post-production, dubbing and dialogue cleanup. Those demonstrations are adjacent to music production, but the Neko device itself appears primarily positioned around musicians and live use.
Where offline separation could help producers and DJs
For producers, immediate local extraction can make preparation less disruptive. A rough vocal isolation from a reference track can help with arranging a mash-up concept, checking an acapella's tempo and phrasing, or building a practice edit. Separating drums and bass can also be useful when studying groove relationships or preparing a private rehearsal version.
DJs could potentially use a device-based approach to make quick functional edits without depending on venue Wi-Fi or mobile data. The appeal is reliability: a set-prep workflow is less exposed to upload times, account limits or cloud-service availability.
Engineers may see a different benefit in privacy. Local processing can be preferable when working with unreleased material, client demos or sensitive production sessions. LALAL.AI also offers local processing in plugin formats for DAW workflows, with the report naming Ableton Live, Reaper, DaVinci Resolve Fairlight and Adobe Premiere Pro as supported environments.
None of this removes the usual quality-control work. Separated stems can contain bleed, phasey reverb tails, softened transients, missing instrument detail or artefacts around dense arrangements. Results also vary substantially between mixes and source material. A separation may be perfectly usable as an edit or writing aid but unsuitable for a prominent release, mix or master without further restoration.
Sampling and release rights still apply
Offline processing changes where the audio is processed, not who owns it. Extracting a vocal, instrumental passage or drum part from a commercial recording does not grant permission to use that material in a release.
Producers planning to sample, remix or distribute work built from separated copyrighted recordings still need the appropriate permissions for both the underlying composition and the sound recording where required. The same applies if an isolated vocal or instrumental is cleaner than the original mix: improved extraction is not clearance.
The report notes that LALAL.AI's Voice Cleaner can remove background music from commentary and ambient recordings. That may help post-production teams prepare material affected by automated content-matching systems, but it is not a substitute for securing music rights.
What to watch next
The Neko integration is an interesting proof of direction for hardware-based audio AI, particularly for players and performers who need separation away from a computer or network. However, producers should wait for full product specifications before treating it as a replacement for existing DAW, desktop or browser workflows.
The useful details will be separation quality under real-world conditions, processing latency, audio connections, storage and file handling, control options during performance, and whether Neko can export stems for further editing. Until those are confirmed, the practical news is that LALAL.AI's local-processing approach is reportedly moving into a standalone music device rather than remaining confined to software.