The problem: Each year, an estimated $1 billion in music royalties go unclaimed — leading to manual audits becoming a time-consuming and expensive industry practice. These issues often arise from human error, legacy systems, complex contracts, and older songs that weren't properly digitalised for streaming. I realised that some of these processes could be automated using AI and enhanced by third-party music data.
Proof of concept leading to a £150k claim. I "ChatGPT:ed" a python script that combined third-party music databases with large language models (LLMs) to analyse our royalty statement database. This led to a £150,000 claim for one of Sweden’s top producers.
Scaling the tech. We built a platform (and company) with internal tools to automate royalty audits — now used by Grammy-winning artists, music funds, and auditors to uncover and claim missing royalties.
AI-workflow
Building a royalty dashboard based on insights that many creators lacked visibility into their earnings.
As we helped more clients uncover missing royalties, we realized many lacked visibility into their earnings. Royalty reports often arrive as massive Excel files with millions of rows. This insight led to the creation of the PointsOwl dashboard, giving creators a clear, intuitive overview of their royalties which helps them better plan finances, tours and succession.
