Prism Audio Insights
Deep audio intelligence for every song
Extracts tempo, mood, and sonic traits from every track for search, discovery, and AI.
Overview
Prism is a proprietary audio-AI built from the ground-up to “listen” to songs and automatically generate a wide variety of highly accurate descriptive metadata. Prism analyzes literally hundreds of sonic attributes — from genre and gender; to tempo and mood; to instrumental arrangement — creating the foundation for personalization, recommendations, and AI reasoning.
Key Capabilities
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Neural BPM: hyper-accurate tempo detection, even in syncopated tracks
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Genres & Styles: 400+ style classifiers across 17 genres
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Melody & Chord Structure: deep and nuanced compositional understanding
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Mood & Character: aggressiveness, tonalness, danceability, energy, partyness
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Environmentalness: detects and classifies non-musical audio
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Waveform visualizations auto-generated for every track
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Why It Matters
Streaming services and AI platforms lack structured, trustworthy music data. Prism delivers proprietary feature sets no other service provides — unlocking better recommendations, training data for AI, and novel discovery interfaces.
Technical Highlights
DSP + deep learning (CNNs, RNNs, Bayesian networks)
Confidence-scored features with cross-correlations
Thousands of novel and unique music data points
Available inter-service or via APIs for custom use-cases
Enrich LLMs and AI agents with deep music knowledge
Build faceted search and recommendation systems
Improve catalog metadata integrity
Generate automatic sound codes for radio music catalogs
