Music Copyright Engineering
Simplified & Verified

We transform your music — melodies, scores, chords, stems, and AI-generated vocals — into legally defensible, registration-ready copyright assets

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Private timestamp services are generally insufficient for commercial IP use

Pricing

We do not sell certificates.
We engineer systems where copyright actually works.Our services are divided into:
(1) copyright-ready deliverables
(2) official copyright registration agency services,
provided only upon explicit request and authorization.

Transparent, predictable pricing built for working musicians
and independent creators.

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MCE: Engineering Trust in the Age of Automated Creation

Between Sound and Proof, There Stands the MCE.

The Trust Architecture of Music IP in the Age of Automation

1. Foreword - The Gap Between Creation and Rights in the AI Era
AI generates millions of musical works every day, yet copyright systems remain slow and
centralized. Public institutions cannot keep pace with this explosive creative data, leaving
many works lost in an unverified space. In this gap emerges the MCE (Music Copywriter
Engineer), a professional who bridges technology, law, and creation. The MCE translates the
output of AI into a legally recognizable and trustworthy creative record.

2. Definition - Engineering Trust as a Profession
An MCE operates at the intersection of music, law, and AI, engineering trust into registrable
form. They do not simply write scores; they build verifiable structures of authorship. Core
functions include: 1. Refining works - standardizing lyrics, scores, and metadata. 2. Structuring
proof - interpreting AI logs (hash, timestamp, source) into legal context. 3. Formatting
registration - eCO, Songtrust, MLC, and KOMCA-compatible metadata conversion. 4.
Pre-verifying trust - detecting duplication, plagiarism, and AI-origin classification. The MCE
stands as the human interface between creation and institutional validation.

3. System Architecture - The Flow of Trust
[AI or Human Creation] -> [MCE Station] -> [Registration or Certification Network] -> [Global
Trust Database] The MCE sits at the core of this flow, refining content, verifying sources, and
creating a trust layer that operates faster than law and more precisely than automation itself.

4. Technology, Operation, and Industrial Integration
Technical foundation: - DDEX or CWR standards: shared metadata protocols across
publishers and PROs. - AI Log Analysis Engine: validating generation time, hash, and
authorship data. - Timestamp or Blockchain integration: distributed Proof of Existence. -
Similarity and Provenance Recognition: automated plagiarism and duplication detection.
Operational framework: - Pre-flight verification protocol: automated validation across 20+
submission fields. - Unified registration dashboard: real-time submission tracking across eCO,
Songtrust, MLC, and KOMCA. - AI Log Bridge: converts creation logs from AI tools into
standardized legal data. Industrial linkage: The MCE ecosystem connects four industries:
creative production, data infrastructure, legal administration, and education. Together, they
form the trust-engineering layer of the creative economy.

5. Philosophy and Ethics - Trust Before Power
When technology defines standards, standards become power. The imbalance in the music
industry begins with the question: who owns the standard? The MCE must not own the
standard; they must interpret and sustain it. Ethical principles: 1. Accuracy - data travels slower
than emotion, but it reaches further. 2. Transparency - the process of proof must never be
hidden. 3. Fairness - the rightful creator must always be the first protected. The ethics of MCE
are not legal obligations but a collective promise to preserve trust.

6. Future Vision - The Human Role Beyond Automation
As institutions fail to keep pace with reality, the market will self-create certification systems. AI
timestamp and hash-based proofs are already functioning as de facto copyright. The MCE will
not vanish. They will evolve, becoming interpreters who translate machine-generated proofs
into human meaning. Evolution path: Present - Centralized registration (eCO, KOMCA): IP
formatting and submission expert Near Future - Automated verification systems: Translator of
AI logs into legal terms Mid Future - Decentralized IP networks: Mediator and data verifier
Long Future - Real-time AI authentication: Ethical auditor and trust architect Ultimately, AI
automates creation, but trust cannot be automated. MCEs are the final human process in
music, the balance between conscience and proof.