Cepstra Music Intelligence Platform
Improve music discovery with AI that understands audio, lyrics, and artists. Cepstra already positioned itself around AI, ML, analytics, research, consulting, and music personalization. The most concrete product thread on the site is music auto-suggestion and artist similarity using audio signals, NLP, and frequency analysis. Cepstra helps platforms surface the right track, build similar-artist journeys, and turn catalog data into usable recommendations.
A music recommendation engine that helps streaming apps, labels, and discovery platforms rank tracks, match similar artists, and improve listening sessions.
- Solves a real commercial problem: better music discovery without building a full in-house ML team.
- Matches the old site’s strongest proof points: audio modeling, signal processing, NLP, and artist-based personalization.
- Can be sold as a platform, API, or white-label dashboard, which fits a small team better than a consumer app.
What the product should do
Feature set for TESRECO’s product
Who to target first
- Music streaming startups that need better recommendations.
- Independent labels that want artist and catalog intelligence.
- Content apps with audio libraries or playlists.
- Agencies or product teams building a white-label discovery layer.
Feature | What it gives the customer |
Audio Similarity Engine | Creates embeddings from raw song signals and finds near matches. |
Lyrics and Metadata NLP | Extracts tags, themes, moods, and artist relationships from text. |
Recommendation API | Returns ranked song or artist suggestions for any catalog. |
Insight Dashboard | Shows clusters, catalog gaps, and listener behavior patterns. |