01 WHAT

A fitting room, wherever your customers shop.

Amora is a virtual try-on platform for fashion e-commerce. Shoppers upload a photo of themselves, pick a garment, and see the fit rendered on their own body — realistically, in seconds.

We plug into Shopify stores, custom D2C sites, and multi-brand marketplaces with a widget or a two-click app install. No design overhaul. No engineering lift.

02 WHY

Because guessing is a terrible way to shop for clothes.

Fashion e-commerce runs on hope. A shopper eyes a piece, guesses at size and drape, and hits buy — often with the quiet expectation that half the order will come right back.

That gap between the photo on the model and the person in front of the mirror costs brands billions in returns each year, and costs shoppers the joy of finding something that actually feels right on their body.

We exist to close that gap — one product page at a time.

03 HOW

Photorealistic AI, delivered at storefront speed.

01

Realistic try-on

Garment preprocessing, identity preservation, and a face-composite step keep the shopper's likeness intact while the clothes render believably on their body.

02

One-line install

Drop the widget into any product page or install the Shopify app in two clicks. No design overhaul, no rebuild of the checkout flow.

03

Built to scale

Multi-tenant infrastructure, aggressive caching, in-flight deduplication, and multi-provider fallback keep latency low and cost predictable as the brand grows.

04 TEAM

Built by two, with a lot of care.

Small team, big obsession with making virtual try-on feel real. If something in the product feels off, one of us is on the other end of the message.

Shrut Jain

Shrut Jain

Co-founder & CEO

Runs product, growth, and everything that happens outside the codebase. Wants Amora to feel less like a plugin and more like a fitting room.

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Tanish Aggarwal

Co-founder & CTO

Runs engineering and the AI stack. Spends his days making garments drape properly on bodies the model has never seen before.

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