A visual fashion search engine.
xplo organizes fashion catalogs by what items actually look like. Search by mood, refine by reference, browse by context.
Three ways to find what you want.
Most exploration is visual. Prose is for entry or fine-tuning, not the main interaction.
An engine that sees what shoppers see.
xplo is built on modern AI: vision models to read product photos, language models to understand requests, and a vocabulary tuned for fashion. The result feels simple: you get what you ask for.
It looks at the photos.
Every product is tagged from its image: silhouette, palette, mood, formality, aesthetic. Searches match what’s actually shown, not what the seller typed into the title.
It speaks fashion.
xplo works from a vocabulary built for clothing: cuts, fabrics, references, occasions. So “something for a gallery opening” or “less floral, more architectural” lands where you expect.
It understands the way you ask.
Type the way you’d describe an outfit to a friend. xplo translates loose prose into precise attributes. If a phrase has two reasonable readings, it shows you both.
It keeps learning.
New aesthetics, new references, new ways people describe how clothes feel: xplo’s vocabulary grows with the conversation. Searches that don’t fit today shape what gets added tomorrow.
Be there when xplo opens.
Join the waitlist.
Early access, no spam. We’ll write when there’s something to try.