Sequential AI is an AI music mastering studio you talk to. Upload a track, say what you want it to sound like, and get a new version back next to your original.

Incubated at SUTD
Singapore University of Technology and Design
Type what you hear and what you want, like “the vocal is buried” or “make it warmer”. The assistant measures the track, picks the processing and renders a new version.
Your original is never overwritten. Each result sits next to it, so you can switch between them, keep the one you like, or ask for something else.
A release check measures loudness and headroom for streaming. Then share a link, publish to Discover or send the track to YouTube.
Sequential AI started in the Audio, Music, and AI Lab (AMAAI) at the Singapore University of Technology and Design, led by Assoc. Prof. Dorien Herremans. The lab has worked on music and AI for years, from predicting dance hits in 2014 to SonicMaster, the first model to restore and master music from plain-language instructions, published at ICML 2026.
The company is incubated at SUTD. Several of us are authors on the lab’s papers. Our own models are built in-house for Sequential AI and draw on that research.

Where the lab has published
Top-tier conferences and Q1 journals in machine learning, language, audio and music.
| Venue | Standing |
|---|---|
| ICML · ICLR · AAAI · EMNLP | CORE A*, the highest conference rank |
| NAACL · ICASSP | Leading venues for language and audio |
| ISMIR | The music information retrieval conference |
| IEEE Trans. Affective Computing · Information Fusion · Expert Systems with Applications | Q1 journals (Journal Citation Reports) |
It’s free. Upload a song and tell the Studio what to change.