Music matching engine for a US music rights company
We built a copyright-to-usage royalty matching engine, scaling from hundreds of inputs to millions, that unlocked $60M in royalties from a $2M spend.
We help publishers and labels turn the data they already have into an operating system for the whole business, so that every team gets its own answers, from the same numbers, without waiting on finance.
Leftshifted is a data and AI consultancy working with music publishers, labels and catalog investors. We take the royalty, rights and finance data a business already holds and build the data foundations and AI systems on top, and turn it into one set of approved numbers that Finance, A&R, Legal and the board can each query for themselves.
The system that calculates your royalties was never built to answer questions about them. So the same data gets exported, rebuilt and argued over in every team that needs it.
People, and questions that never get asked. The numbers are all there - but getting to them means someone exporting, reconciling and rebuilding by hand, so the business only gets the answers that a handful of people have time to produce.
Those people often end up being in Finance. They reconcile royalties to cash and books, so they end up owning the definitions, so they end up being the only ones who can answer anything. It's not a headcount problem - it's the planning team doing the business's lookups.
Anyone in the business should be able to ask these, and get an answer they can act on, without raising a ticket with finance.
Finance, A&R, Legal, the board, each asking what they need to know, all reading from the same approved numbers. That's the OS. We build it with you.
Leftshifted builds the data layer between a music company's royalty, rights and finance systems and the people who need answers from them: the data foundations, agreed definitions for income types and ownership, reconciliation across statements, cash and the books, and the models that turn all of it into questions anyone can ask.
We've done the same in PR, telco, retail and insurance, where the systems differ but the problem is the same: there's lots of disparate and underused data that nobody can use to its fullest.
Data foundations, definitions, reconciliation, models, the connection to what your teams build in AI - and keeping it right every quarter after. We take on as much of that as you need us to.
Music rights is where our returns have been highest, averaging 30x on investment across engagements.
We built a copyright-to-usage royalty matching engine, scaling from hundreds of inputs to millions, that unlocked $60M in royalties from a $2M spend.
We built the company's data platform, taking insight and queries from days to seconds and removing a third-party dependency.
In progress
We are building the data foundations across royalty statements, cash receipts and the books, and the operating system on top of them, so finance, A&R, legal and the board each answer their own questions from the same approved numbers.
In progress
We are building the system that takes catalog evaluation from an eight-week process only the most experienced people can run to something faster, and something more of the team can do.
Publishers, labels and catalog investors with more questions than people to answer them.
Bring the questions you can't currently answer. We'll talk through where your data is, what's getting in the way, and what it would take to change that. Book a call or email info@leftshifted.com.