We believe music supervision
should be intelligent.
SCENECO was built by creators who got frustrated — and decided to fix it.
The problem we're solving
Finding the right music for a video is one of the most time-consuming and frustrating parts of the creative process. Endless libraries. Vague keyword searches. Tracks that almost fit, but never quite do. Most music tools treat searching like shopping — but music for video isn't about browsing. It's about matching emotion, pacing, and narrative arc.
We built SCENECO to work like a professional music supervisor on your team: one that understands your video, not just your keywords.
How we think about AI
AI should empower artists — not replace them. Our platform uses machine learning to surface better creative choices, not to automate away human judgment. The best outcomes happen when intelligent tools and human intuition work together.
That's also why we take the musician side seriously. Every track in our library comes from independent artists who are fairly compensated when their music is used. Ethical AI means accountability at every step of the chain.
Who built this
SCENECO was built by a Berklee Screen Scoring alumna who believes human creativity and AI should work together — not against each other. Someone who has lived both sides: the artistic process of scoring to picture, and the real frustration of wasting hours on music search during production.
This isn't a tool built from the outside looking in. It's built by a creator, for creators — with deep expertise in film scoring, a genuine understanding of the pain points, and a clear vision: use AI to erase friction, not to replace the creative judgment that makes great work possible.
Our values
Creator-first
Every decision we make starts with the person making the video. The tool should disappear; the story should shine.
Musician-fair
Independent artists deserve to benefit from AI, not be displaced by it. We pay fairly and credit clearly.
Musically honest
We don't use generic mood tags. Our matching logic is grounded in real film-scoring methodology.