MAJESTATIS 7+7 Protocol Automates Music Plagiarism Detection
The new system identifies potential copyright infringement in three seconds, aiming to reduce litigation costs for the industry.
Updated on Oct. 28, 2026 in Artificial Intelligence
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Francoobla Music has announced the MAJESTATIS 7+7 protocol, a new system designed to detect music plagiarism through automated file scanning. The tool identifies potential copyright infringement by pinpointing seven consecutive identical notes or words within an audio file.
Why it matters
By automating the detection of copied content, the protocol aims to reduce the reliance on expensive expert witness testimony and protracted litigation in the music industry. Francoobla Music is also launching a global competition pitting human-directed AI music against traditional human performances.
The system performs a diagnostic scan of audio files in three seconds. It registers a conflict only if seven consecutive notes or words are identical, explicitly exempting works that include a variation in at least one of those seven elements.
The players
Francoobla Music
An Italy-based developer of AI-driven music technology and catalog holder.
U.S. Copyright Office
The federal agency that registers copyright claims and maintains records for the United States.
Safe Creative
A global digital registry platform used to record copyright and intellectual property metadata.
SIAE
The Italian Society of Authors and Publishers which manages collective copyright and licensing.
The details
The MAJESTATIS 7+7 protocol utilizes algorithmic file scanning to conduct a comparative analysis against established musical databases. To build this system, Francoobla Music spent 36,000 hours developing a catalog of 200 original tracks across five languages. The competition for AI-generated music utilizes a set of 30 specific technical drafting points, which guide human directors on instrument technical requirements and beats-per-minute (BPM) guidelines.
Timeline
October 28, 2026: Announcement of the protocol and the AI vs. human performance challenge.
The Tech Race
The MAJESTATIS 7+7 protocol positions itself against traditional manual musicology analysis, which has historically dominated copyright litigation. Francoobla Music is now scaling this technology globally, signaling a potential shift toward Asian markets if Western adoption of the protocol remains slow.
The protocol is designed to provide immediate, low-cost verification for rights holders and creators compared to traditional legal audits. While the system is currently announced, its effectiveness for the broader industry will be evaluated through the upcoming competition between AI and human musicians.
The takeaway
Francoobla Music is attempting to standardize copyright enforcement through automated diagnostic benchmarks. Stakeholders should monitor the outcomes of the AI versus human music competition to gauge the functional performance of the protocol against professional human output.
Further reading
Explore the latest developments in automated content generation and detection in Artificial Intelligence.
Source note: This article includes information reported by The Manila times.
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