See it on. Then buy it.
AI try-onfor resale — from asingle phone video.
Sellers upload a short video, shoppers see it on a body before buying — cutting fit-driven returns and turning flat listings into fit confidence.
Scanning fitFit is the #1 reason resale fashion gets returned.
resale sellers who need better listings
of listings have any try-on or 3D content
cost of studio 3D/AR today — out of reach
Studios cost $500–2K a listing. We bring it down to a few dollars per item.
Phone Video → Try-On Asset.
InputA short phone video
No rig. No studio. Just a phone.
OutputA try-on-ready garment
Deployable straight into any listing.
Try-on, in motion.
From a single phone video to a shopper-ready try-on asset — the moment a flat listing earns fit confidence.
A large, underserved wedge inside a massive category.
Realistic 3–5 yr capture
Resale segment reachable now
Total demand for AI try-on / fit tech in fashion
* Figures are internal estimates.
Built to own the resale try-on wedge.
Affordable AI try-on
Photo-based, no special hardware, works on any marketplace.
Fast & lightweight
On-device rendering keeps browsing smooth and instant.
Commerce-native
Drop-in iOS / Android SDKs slot right into the listing flow.
First-mover in resale
No competitor targets peer-to-peer resale specifically.
Drops straight into
any listing.
Drop-in iOS & Android SDKs slot the try-on right into the buy flow — no rebuild, no studio.
Minutes and dollars — not weeks and thousands.
Early, honest, and moving fast.
Week 1
Week 1
Technical team assembled week one from CMU, IIT Delhi & Northwestern — building from day one.
Now
Now
A functioning try-on pipeline, running on ~$700 total founder capital spent. Pre-revenue and honest about it.
Next
Next
Piloting with a resale marketplace to put try-on assets into real listings.
Four builders, one wedge.
Drives vision and marketplace partnerships.
Runs operations and go-to-market.
Leads the try-on pipeline and ML.
Shapes product and seller experience.