Rights & royalty reconciliation
Engines that match statements against catalog truth, surface underpaid usage, and close gaps you didn't know existed.
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.
01 — The problem
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
Engines that match statements against catalog truth, surface underpaid usage, and close gaps you didn't know existed.
Metadata enrichment, deduplication, and semantic search across decades of releases — built on top of your existing systems.
A unified view across streaming, social, ticketing, and direct-to-fan, modelled for the questions artists and teams actually ask.
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.”