DISCO is designed for managing, sharing, and delivering music through playlists and files. MusicAtlas is music search infrastructure for recorded music at scale — combining multiple models and representations across audio, lyrics, and context to transform music into a searchable, referenceable system. This page summarizes where the two overlap — and where they operate at fundamentally different layers.
Building and sharing playlists for sync, pitching, and internal review.
Managing files, versions, notes, permissions, and collaborator access.
Supporting day-to-day workflows centered on assets, approvals, and delivery.
Search infrastructure for recorded music at scale across audio similarity, lyrics, and contextual signals.
Intent-driven discovery (“sounds like”, lyrical themes, moods, use-cases) without requiring pre-built playlists.
Operating as an underlying intelligence layer that can feed multiple workflows via APIs and partner products.
Primary role: DISCO focuses on organizing, sharing, and delivering music assets.
MusicAtlas focuses on discovery and intelligence, where search and similarity are the foundation.
Workflow model: DISCO is playlist-centric and file-based.
MusicAtlas is query-driven and reference-track driven, designed to search across large collections without needing files or playlists to be built first.
How discovery happens: DISCO workflows depend heavily on human curation and what a team already knows.
MusicAtlas is built to surface non-obvious matches using multi-model analysis across sound, lyrics, and context, returning ranked results from intent.
Portability: DISCO playlists are optimized for pitching, collaboration, and sharing inside the DISCO workflow.
MusicAtlas outputs are designed to be reused across workflows and listening destinations — feeding search, sync, A&R, analytics, and downstream tools.
Inputs: DISCO workflows center on uploaded assets and editorial organization.
MusicAtlas models audio, lyrics, and context to make music searchable by how it sounds, what it means, and how it relates — without functioning as a storage system.
Developer access: DISCO is primarily an end-user workflow interface.
MusicAtlas provides an open developer API for track-level intelligence, enabling search, similarity, and enrichment to plug into existing systems.
Both support sync and licensing workflows, especially when teams need to move from discovery to delivery. The key distinction is that MusicAtlas is optimized to find the right music quickly, while DISCO is optimized to package and deliver the final assets.
Discover faster. Use MusicAtlas to search across catalogs by sound, lyrics, mood, and intent — reducing search time, improving match accuracy, and surfacing tracks that would otherwise stay hidden.
Shortlist with confidence. Expand from a reference track, validate options, and build a stronger candidate set before any file workflow begins.
Deliver professionally. Use DISCO as the asset library and delivery layer for final files, notes, permissions, and stakeholder-facing playlists once the shortlist is ready.
DISCO is a workflow interface for organizing and sharing music through playlists and files. MusicAtlas is music search infrastructure built for discovery, similarity, and contextual understanding across recorded music at scale. In practice, DISCO is often where results are packaged and delivered, while MusicAtlas is where discovery begins.