Matching Engine, developed by Spanish Point Technologies, has launched a new AI module for the platform used by collective management organisations (CMOs).
CMOs using Matching Engine are set to distribute more than €1.2 billion in royalties to 500,000 creators and rights-holders worldwide in 2026.
“The launch represents a significant infrastructure milestone as organisations respond to a widening range of challenges across the music industry, from the continued growth of streaming platforms and short-form content, to increasing usage across gaming and social media, as well as the rapid rise of AI-generated music from platforms such as Suno and Udio, all of which are driving greater data complexity and placing new pressure on rights management processes,” said a statement.
Matching Engine is a fully cloud-native enterprise platform used by leading rights organisations across Europe and North America, including SOCAN (the Society of Composers, Authors and Music Publishers of Canada), TONO (the Norwegian Performing Rights Organisation), KODA (Denmark’s collective management organisation for songwriters, composers and music publishers), and IMRO (the Irish Music Rights Organisation). It underpins global copyright infrastructure and supporting systems such as the International Standard Musical Work Code (ISWC).
The new AI module, unveiled at the Matching Engine Symposium in Dublin on April 15-16, enhances how these organisations access, analyse and act on their information. It is designed to enable faster, more accurate royalty processing at a global scale.
This is about giving rights organisations the ability to see what’s happening in their systems instantly, fix issues faster, and protect the value of every play
John Corley
Matching Engine’s AI module enables rights and repertoire functions to identify and resolve matching and attribution issues in real time, reducing delays and errors in royalty processing. By enabling direct interaction with usage and repertoire data through an AI assistant, users can identify discrepancies faster, ensure accurate attribution and improve transparency across payments.
John Corley, CEO of Spanish Point Technologies, said: “The volume of music data is reaching a point where manual processes simply can’t keep up. This is about giving rights organisations the ability to see what’s happening in their systems instantly, fix issues faster, and protect the value of every play.”
“At our scale, even small discrepancies can have a real impact for creators,” said Jennifer Brown, chief executive at SOCAN. “Having faster visibility into what’s happening across repertoire and usage means we can resolve issues earlier and ensure royalties flow where they should.”
“The challenge is no longer just managing rights, it’s keeping pace with volume and complexity of works and usage data,” said Karl Vestli, CEO of TONO. “Our members expect to be paid quickly and accurately, and that bar keeps rising. Our ability to distribute royalties to the right rights-holder, at the right time, depends entirely on the quality of that data."
Amid the growth in fake streams powered by AI, Spanish Point Technologies is developing a dedicated fraud detection module, set to launch later this year. It is designed to identify suspicious activity, improve confidence in matching and attribution, and support more accurate and transparent royalty distributions.
