SongScore
The first commercial AI music intelligence scoring platform — built to predict hits before they ship.
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The opportunity
Artists and labels release more music than ever, but intuition still drives most release decisions. There was no affordable, fast tool that combined audio ML, streaming audience data and short-form trend signals into a single score. We built SongScore to close that gap.
What we built
A full-stack SaaS product with a proprietary scoring engine, responsive dashboard, pay-per-track checkout, subscription tiers and platform-fit reports. Every feature is designed for speed: upload, score, decide, release.
Core modules
Pre-release Scoring
Score a track before it drops. SongScore combines audio analysis, engagement signals and platform data to forecast how a song will perform on release day.
Platform-fit Analysis
Sonic fingerprints are matched against TikTok, Spotify, Apple Music and YouTube audiences so artists know where to push first.
Hook Detection
AI isolates the 15-30 second segments most likely to loop, share and convert — the exact clips that fuel short-form content.
AI-Generated Music Detection
Labels and A&R teams can identify synthetic audio patterns to protect catalogues and sign human talent with confidence.
Platform-fit scores
Example output from the SongScore engine for a recent unreleased pop/alt-R&B track.
Result
SongScore became the first commercially available AI music intelligence scorer with a working product, paying users and a growing pipeline of label pilots. It also proved that Brands Select can move from agency brief to shipped AI SaaS — a capability we now offer to select clients.
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