142,890 catalogues indexed

The platform for music intelligence.

Atlas turns streaming behavior, rights lineage, and musical structure into analytics for pricing a catalogue and finding its next upside.

Request early access How it works
Catalogues indexed
142,890+
Tracks monitored
12.4M
Average uplift
+34%
How Atlas works

From data to decisions.

Atlas does not ask one metric to explain a catalogue. It moves from durable demand to latent opportunity, then turns that analysis into a practical value plan.

Atlas signal path Stage 01 of 04 / Durability
01 / Durability

Catalogue Efficiency & Stability

Stability index

Is the revenue floor durable after the release spike fades?

Open CESS module
Signal in Streaming behaviour + rights history
Atlas reads Release-decay resilience
Decision Price durability before you bid
Product preview

See Atlas work through a catalogue.

Follow the signals from listening behaviour to a clear decision. Change the inputs and see how the analysis responds.

Module 01 / Stability and decay modeling

Catalogue Efficiency & Stability (CESS)

Question: how quickly does a catalogue settle, and where does its durable floor land?

Secular Floor Qualifier > 88.0
Select Catalog Portfolio
36-month catalogue decay curve
MONTHLY DEMAND AFTER RELEASE Floor Locked: £10,500 / mo
01 / Spike Month 00 Initial demand
02 / Decay Months 01–18 Attention normalizes
03 / Floor Month 36 Durable baseline
CESS Stability Index 89.6 / 100
AA Institutional

Functional ambient soundscapes exhibiting zero seasonal attrition, continuous night-time looped playback, and robust lifetime value.

Skip Rate (<30s) 18.1%
Replay Ratio 8.9x
Retention after decay: 34.2%
Module 02 / Sleeper detection radar

Sleeper Song Probability Score (SSPS)

Question: which tracks are earning repeat intent before promotion arrives?

Organic conviction filter
01 / Intent Save-to-stream behaviour What listeners choose to keep
02 / Purity Organic discovery Signals independent of promotion
03 / Upside Latent annual value Where attention can compound
Candidates by organic conviction
Focused Diagnostic
"Boreal Drift IV"
ISRC-FI-K32-19-00122 · Catalogue: Kallio Sleep Project
Projected Annual Upside +£19,800 / yr
Completion Rate 91.2% Top 0.4%
Save Intent Rate 34.2% Benchmark: 8.2%
Editorial Promo 0.0% Push Pure organic
Organic pull vs editorial push 96% Pure Pull
Automated Recommendation: Functional DSP Sleep Editorial Pitch & Looped Stream Maximization
Module 03 / Sonic profile matching

Composition & Sonic Similarity (CCSM)

Question: which buyers, briefs, or placements are the strongest sonic fit for this track?

94.8% similarity
01 / Extract Track sound profile Measure timbre, harmony + vocal texture
02 / Compare Known reference Compare with proven music in context
03 / Place Buyer or brief Use the match to target a focused pitch
Source / Track being assessed
"Ghosts in the Canyon"
ISRC-GB-A82-21-00412
74.2 BPM · D♭ Maj
Sound profile / 1024 dimensions Normalized
Vocal Intimacy 0.88 / 1.0
Harmonic Entropy 0.14 Low Decay
Reference / Proven context
Bon Iver — "Holocene"
Evergreen Catalog Standard (480M Streams)
94.8% Similar
Similarity to reference Model score
Where it fits: Strong match for intimate, cinematic television briefs. Comparable upfront placements range from $28k to $45k.
Module 04 / Value creation

Stardust Value Creation

Question: which actions could increase the catalogue's run-rate?

+£53,600 / yr selected uplift
Test value creation actions

Select actions below to see their combined effect on annual run-rate.

Active Projected Run-Rate £57,800 / yr
01
Current baseline Passive streaming royalties before new actions
£4,200 / yr
Projected run-rate: 13.8x baseline Verified against 85k historical catalog remediations
Who uses the decision

One analytical view, three decisions.

Atlas gives each participant a clearer next move without forcing them to share the same operating language.

For catalogue investors

Price durability before you bid.

Separate a stable income floor from a temporary chart moment, then underwrite upside with a clear view of the drivers.

For rights holders & estates

Find value inside the archive.

See which works are under-discovered, where rights data is incomplete, and which actions could improve the run-rate.

For A&R and labels

Move earlier with context.

Pair emerging demand with sonic and audience analysis before a track becomes obvious to the rest of the market.

Analytics inputs / traceable data

Analytics grounded in source data.

Atlas joins four data families so every score reflects behaviour, rights identity, market response, and audio context.

Listening behaviour DSP telemetry

Spotify Web API and Apple Music API provide save ratios, listener cohorts, stream retention, lossless velocity, and spatial adoption.

Spotify + MusicKit Enterprise
Rights identity Registry lineage

MusicBrainz, CISAC, ISRC, ASCAP, BMI, and PRS connect recordings, works, publisher lineage, splits, and collection identities.

CWR + EDI / SOC ingestion
Market response Broadcast + viral

Soundcharts and TikTok Research API show global airplay, playlist movement, UGC creation, re-share ratios, and emergent sound velocity.

2,400+ feeds + Research API
Audio intelligence Fingerprint + embedding

EchoPrint and AcoustID provide 1024-D acoustic fingerprints, timbre embeddings, and master deduplication for CCSM matching.

Chromaprint C-Binding
All inbound pipelines cryptographic hash-verified against CISAC and Master ISRC registries 99.998% Data Lineage Integrity
PRIVATE BETA

Join the waitlist.

Institutional access is rolling out in cohorts for catalogue funds, rights holders, and modern A&R teams.

✓ Priority rights holders
✓ Instant API sandbox