OS
Intelligence, Forged.

Stop Betting.
Start Optimising.

ReleaseOS is the decision engine the music industry has been missing. Right track. Right timing. Right audience. Right spend.

90%+
of releases never recoup
their costs — still.
$26B
global recorded music market
still managed on gut instinct.
0
true end-to-end release
optimisation platforms exist today.
Process

We don't follow
releases. We
engineer them.

Four compounding decisions. One unified operating system. Built to make the music industry's most expensive guesses obsolete.

01
Ingest
Audio embeddings, streaming momentum, social signals, audience demographics, historical spend, and outcome data feed the intelligence layer continuously.
Audio · Market · Signals
02
Predict
The outcome prediction model scores every track against 2M+ historical releases. Hit probability, hook retention, sonic novelty — all scored before a brief is written.
ML · Embeddings · 2M+ tracks
03
Optimise
A quantum-inspired solver evaluates 12,000+ allocation scenarios across channels, markets, and timing windows to surface maximum expected ROI.
Quantum-inspired · Monte Carlo
04
Learn
Every release feeds new outcome data back. Predictions sharpen. Allocations tighten. The moat compounds with every campaign, every client, every cycle.
Flywheel · Compounding moat
Platform

Four decisions.
One operating
system.

Where most see fragmented analytics, we envision a single, unified release intelligence stack.

01
Song Selection

Know which track
to back before
the campaign starts.

Audio embeddings, lyric structure analysis, and market signal modelling combine to generate a breakout probability score for every track in your pipeline. No more backing the wrong single.

Hit Probability
87
Hook Retention
91
Sonic Novelty
74
Short-form Fit
83
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02
Release Timing

Never release into
the wrong window
again.

The timing optimizer identifies playlist congestion, competitive release clusters, and editorial blackout windows up to 90 days forward. The system surfaces the highest share-of-voice moment — before your competition does.

Optimal window detected
14 NOV
3 major drops cluster 11–13 Nov — hold until clear
90-day forward visibility · High confidence
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03
Audience Targeting

Find the listeners
before anyone else
does.

The audience opportunity engine maps every track to overlooked listener segments and geographic breakout markets — before a pound of spend is deployed.

🇬🇧
United Kingdom
82%
🇧🇷
Brazil
71%
🇺🇸
United States
64%
🇩🇪
Germany
48%
🇯🇵
Japan
29%
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04
Budget Allocation

The quantum-
inspired spend
optimizer.

12,000+ allocation scenarios evaluated per release. The solver finds the channel-market split that maximises expected return — not based on habit, but on signal.

TikTok Creators
£168k
40%
Spotify Promotion
£118k
28%
Influencer Seeding
£84k
20%
PR & Press
£50k
12%
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Clients

Built for every
part of the
industry.

Where most analytics tools serve one part of the chain, ReleaseOS is the intelligence layer that connects labels, distributors, and platforms into a single optimisation stack.

01.
Record
Labels

From independent labels to major groups — ReleaseOS augments A&R without replacing it. Every release decision sharpened by data.

Score every track before campaign spend is committed
Eliminate costly timing collisions with 90-day forward visibility
Quantum-inspired budget allocation per release
Interscope-scale intelligence from £500/month
02.
Distri-
butors

Differentiate your service beyond pipes and royalties. Surface release intelligence across your entire roster as a premium tier.

Portfolio-level analytics across your full catalogue
Identify timing conflicts before they cost your clients
API-first integration with your existing stack
Benchmark performance across all labels on your platform
03.
DSPs &
Platforms

Pre-release signal intelligence for smarter editorial decisions. Know which tracks will break before they hit your platform.

Pre-release breakout prediction for editorial teams
Audience fit scoring for smarter recommendation seeding
Catalogue-level signal before a track trends
Strategic intelligence for acquisition and deal decisions
Results

The numbers
behind the
platform.

2M+
tracks in the outcome prediction training dataset — and growing with every release.
79%
breakout prediction accuracy over a 90-day forward window.
+22%
average ROI uplift on optimised release campaigns versus prior allocation.
12k+
budget allocation scenarios evaluated per release by the quantum-inspired solver.
90d
forward visibility on release windows, competitive congestion, and editorial timing.
4×
faster release decision cycle versus manual analytics workflows across the stack.
Technology

Built on a
defensible
stack.

Not a dashboard. A full-stack intelligence system with a compounding data moat at its core. Each layer reinforces the next.

01
Data Ingestion
Audio Embeddings (OpenL3)
CLAP Semantic Vectors
Chartmetric API
Spotify Web API
TikTok Trend Signals
Audience Demographics
Historical Spend Data
Outcome Labels
02
Intelligence Layer
Outcome Prediction Model
Release Timing Optimizer
Audience Opportunity Engine
Quantum-Inspired Budget Solver
Monte Carlo Simulation
Music2Vec Embeddings
ML Pipeline
03
ReleaseOS Product
Track Potential Score
Audience Fit Map
Release Calendar
Spend Allocation Engine
REST API
Web Dashboard
Enterprise Integrations
04
Feedback Loop
Outcome Capture
Model Retraining
Prediction Accuracy Monitor
Compounding Data Flywheel
Moat
OS
The future is made of choices.
Turn releases
into an optimisation
problem.

Join the waitlist. Pilot with your Q1 pipeline. See what data-driven release decisions actually look like.

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