AI-Powered Intellectual Property Similarity Detection on Snowflake

Intellectual property offices worldwide face a growing challenge: how do you ensure that every new trademark, logo, or jingle is genuinely distinct from the millions already registered? For one of our prospect in public sector, this problem spans two fundamentally different media types: images (product logos, packaging designs) and audio (brand jingles, musical trademarks). Each new submission must be compared against the entire existing registry before it can be approved. Manual review simply does not scale . An examiner can visually compare a handful of logos per hour, but the backlog grows faster than human reviewers can process it. Audio comparison is even harder. You can imagine listening to thousands of jingles to catch a subtle similarity is impractical. Subjectivity compounds the problem: two examiners may disagree on whether a logo is "too similar" to an existing registration. And consistency matters: the same pair of assets should always produce the same similarity verdict, r