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Patent Embedding Radar: Spotting Competitor Encroachment

Interactive 3D embedding-space radar for AI-driven competitive intelligence: patent filings plotted as vectors on a similarity sphere, with live cosine-similarity encroachment detection and whitespace-gap discovery.

AI & Machine Learning3DModerate60 FPS📱 Mobile-adapted

AI-driven competitive intelligence turns patent filings, product pages and marketing text into vectors in an embedding space, then measures similarity between them to spot threats and gaps automatically. This simulator makes that pipeline visible: filings from your company and three competitors stream in continuously and settle onto a 3D similarity sphere according to which of six technology clusters they belong to. A live cosine-similarity check flags any competitor filing that lands too close to your own portfolio — exactly the nearest-neighbour math a real patent-monitoring system runs — while a separate probe search continuously hunts for the sphere's most isolated region, the whitespace a real R&D team could stake out uncontested.

⚙ Under the hood

An interactive 3D embedding-space radar for AI-driven competitive intelligence: patent filings from your company and three competitors stream in and settle onto a similarity sphere, with live cosine-similarity encroachment detection and a probe search for the largest unclaimed whitespace region.

aicompetitive-intelligenceembeddingsnlppatent-analyticscosine-similarity

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install