Beatwork — est. 2025

AI and data,
tuned for
music.

We build the data infrastructure and AI systems music and entertainment companies actually need — rights reconciliation, catalog intelligence, fan platforms, and sync matching — and we build them so artists and rightsholders benefit.

/Rights reconciliation/Royalty recovery/Catalog intelligence/Sync matching/Fan data unification/Metadata enrichment/Audience modelling/Explainable ML/Rights reconciliation/Royalty recovery/Catalog intelligence/Sync matching/Fan data unification/Metadata enrichment/Audience modelling/Explainable ML/Rights reconciliation/Royalty recovery/Catalog intelligence/Sync matching/Fan data unification/Metadata enrichment/Audience modelling/Explainable ML

01 — The problem

The music industry generates extraordinary amounts of data and uses almost none of it well.

Labels sit on decades of catalog with rights metadata that's incomplete, inaccurate, or locked in spreadsheets. Publishers lose royalty revenue they don't know they're owed.

Independent artists have fan data scattered across Spotify, Apple Music, TikTok, and ticketing — with no unified view. Sync, still one of the most valuable revenue streams, runs on relationships and gut feel.

02 — Capabilities

What we build, end to end.

01

Rights & royalty reconciliation

Engines that match statements against catalog truth, surface underpaid usage, and close gaps you didn't know existed.

02

Catalog intelligence

Metadata enrichment, deduplication, and semantic search across decades of releases — built on top of your existing systems.

03

Fan data platforms

A unified view across streaming, social, ticketing, and direct-to-fan, modelled for the questions artists and teams actually ask.

04

Sync matching

Find the right track for the right brief in minutes, not weeks — with reasoning a music supervisor can read and trust.

100%

Client-owned outputs

0

Black boxes

10×

Faster sync turnarounds

∞

Catalog scale

03 — Position

“Sustainable AI in music has to be transparent about what it was trained on, honest about how it makes decisions, and structured so artists and rightsholders benefit from the systems built around their work.”

A serious project,
a serious team.

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