MOVE
Multidimensional Originality Verification Engine
Mathematical precision for originality questions that have plagued creative industries for decades.
The Core Problem
When is something original? When is it derivative? When is it a version of existing work? These questions have plagued creative industries for decades.
Courts decide case by case. Experts disagree. Standards vary by jurisdiction. MOVE solves this with mathematical precision.
Traditional Approach Problems
How MOVE Works
Every creative work represented as a point in multidimensional space
Music Analysis
Visual Analysis
Text Analysis
Example Analysis
Nuanced Similarity Scores
Instead of binary "copy or not," MOVE generates nuanced similarity scores. A track might be 95% melodically original but use common chord progressions—MOVE quantifies both.
This provides evidence-based analysis for registration and licensing decisions, not subjective human judgment.
AI Content Detection Layer
MOVE includes specialized detection for AI-generated content, identifying works created by or substantially influenced by machine learning models.
This enables appropriate classification and licensing terms for AI-derived works—essential as generative AI produces billions of variations daily.
Why This Matters
Traditional copyright assumes human creativity produces original work. But AI changes this. When machines generate infinite variations, we need objective ways to determine what's genuinely new.
Machines analyzing machine-scale creation. The only approach that works.
How are originality standards set?
Learn about MRT: Multidimensional Registrability Thresholds
Continue to MRT