Start from a question,
not a timeline.

Vintage Vestige connects garments across 500 years of fashion history — not through similarity, but through shared DNA. A shared designer, a shared construction technique, a named movement that traveled across continents, an explicit influence citation linking a 2020 dress to an 1890s sleeve.

The collection draws from The Metropolitan Museum of Art, the Smithsonian, and the V&A Museum. Each garment is enriched by Claude AI, which extracts construction techniques, social functions, named movements, designer attributions, influence references, and material origins from images and museum metadata.

Connections are discovered through entity-based matching — an inverted index of shared attributes scored by rarity. Sharing “Japonisme” is worth more than sharing “hand-sewing.” Lineage bridges trace explicit influence citations forward through time. Visual echoes catch the surprises that metadata misses.

The result is a browsable graph of design history. Pull the thread from any garment and follow where it leads — through shared techniques, movements, and makers across centuries and continents.