RAD is the first application. The pipeline is what scales.
Any organization sitting on a large archive of visual content — and there are thousands of them — has the same problem. The content exists. The metadata is shallow. The cultural and production context is buried in interviews, press releases, and institutional memory. Nobody has built the infrastructure to surface it at scale.
Film studios. Television networks. News archives. Sports broadcasters. Advertising agencies with decades of campaign footage. Fashion houses with runway archives. Documentary distributors. Museum collections. Getty Images. The AP. Reuters.
Every one of them has the same problem RAD solved for music video — a vast visual archive with inadequate metadata and no queryable scholarly layer on top of it.
The two-phase pipeline — quantitative visual fingerprinting plus AI-driven cultural enrichment with web-search verification — works on any visual content. You adjust the system prompt, you adjust the Phase 1 analysis parameters, you calibrate the tier system for the specific content type. The architecture is the same.
RAD proves the methodology works. The corpus is the case study. The interface is the demo.
Free access to a curated selection of the corpus — the best cards from each decade and director folder, fully searchable and queryable.
Full corpus access via API key. Structured JSON endpoints for programmatic access, bulk export, and integration with research workflows.
License the pipeline for your own visual archive. Film studios, broadcasters, news organizations, advertising agencies, fashion houses, sports archives, museum collections — any organization with a large catalog of visual content and shallow metadata.