From 2 weeks to 2 hours: Automating music royalties at scale
We helped BMAT automate royalty processing—from ingestion to reporting—turning a 2-week manual workflow into a fast, scalable, data-driven system.
Contact usWe helped BMAT automate royalty processing—from ingestion to reporting—turning a 2-week manual workflow into a fast, scalable, data-driven system.
Contact usBMAT was processing massive amounts of streaming data from platforms like Spotify and YouTube. Every file came in a different format, and everything had to be handled manually.
Royalty calculations were slow, messy, and required an entire team to get across the finish line. The system couldn’t scale, and they risked losing big opportunities with larger clients.
Speed, accuracy, and automation were no longer optional, but urgent.
We came in to modernize a complex, time-heavy process and turn it into a streamlined, data-driven system. Starting from the ground up, we built out an automated architecture that could handle massive amounts of streaming data without human bottlenecks. With a deep understanding of DSP logic and royalty structures, our team led both the architecture and delivery of a solution that’s fast, flexible, and fully scalable. The result was a platform that gave BMAT complete control—from ingestion to insights.
Royalty processing time dropped from over two weeks to just a few hours. BMAT significantly reduced manual work, slashed operational costs, and gained the bandwidth to serve bigger clients. Data accuracy improved across the board while reporting to partners became faster and more transparent. The system runs with minimal friction, giving the team space to focus on growth—notfirefighting.