For brands

Higher conversion. Lower returns. A storefront that sells itself.

This isn't another virtual try-on widget. It's a hyper-personalisation platform: every product page becomes a photo of the customer themselves, at their real size — with a stylist that upsells, a network that brings them back, and a dashboard that shows you exactly what moved.

+ The problem, in numbers

Your customers can't see themselves in your store. It costs you every day.

41%

of shoppers buy multiple sizes planning to return the rest

A$20bn

of Australian online purchases come back every year — fit is the biggest reason

77%

of AU shoppers say online shopping is unexciting — Criteo 2026

Sources: Yahoo Finance Australia · Inside Retail coverage of Australian returns behaviour · Criteo 2026.

+ What moves

Eight numbers that move in your favour.

Every feature below exists to move a metric you already report on. Here's which — and how.

23%

Conversion

Seeing the garment on themselves — at their real size — is the strongest buying signal there is. The product page stops being a guess.

Whole-store try-on · Mirror Mode · See it in your size →
40%

Returns

A size-16 customer sees a size-16 body, not a size-6 model — plus a Fit Advisor recommendation on every page. Size-bracketing collapses.

Fit Advisor · real-measurement Twin · size recommendation →
18%

Basket size & upsell

"What goes with this?" — the visual stylist suggests pieces and shows them on the customer, then Complete the Look adds the whole outfit in one tap.

Visual AI Stylist Concierge · Complete the Look · Mix & Match →
Back

Returning customers

Every look they save — on any store in the network — is a bookmark back to yours. "Shop this look" returns them with in-stock pieces already in cart.

My Looks · the cross-brand network · everything travels →
New

Discovery & new traffic

ChatGPT, Claude and Gemini search your catalogue and hand shoppers a one-tap try-on link — straight into your store. Found is table stakes; chosen is the moat.

Found by AI shoppers · agentic search · semantic search →
+1

A lead from every guest

Guests try on without signing up — and every guest try-on captures a consented name and email. Anonymous traffic becomes your list.

Quick Try-On for guests →
Stay

Time on page & engagement

Shoppers don't bounce from a store that's them. They swap scenes, restyle, try the next piece — browsing becomes the experience, not the obstacle.

See yourself anywhere · Mirror Mode · new-arrivals pre-rendered →
Share

Social reach

A photo of yourself in the outfit, on a beach in Italy, is the image people share. Every saved look is brand content made by the customer — shareable looks are next.

See yourself anywhere · My Looks →

Percentages are "up to" figures from McKinsey personalisation & virtual try-on benchmarks, 2025–2026. Your dashboard shows your own.

+ Before / after

Same store. Same products. Their body.

Your photography and your brand stay exactly as they are — Mirror Mode sits on top. Flip it on and every model image across the store becomes the customer, at their measurements. Flip it off and it's your campaign again. The customer decides.

Pre-generated, not generated on the click: the moment a customer opens your store, they already see themselves — including on the collection you dropped last night.

See it on your own catalogue
A demo store as shoppers see it today — one professional model on every product
The same demo store with Mirror Mode on — every product shown on the customer's own Twin at their real size
The same store shown on a size-8 and a plus-size shopper — the network means each customer's Twin already works here
+ The network

Launch with an audience that's already try-on ready.

We believe we're the first in the world building a cross-brand fashion network: a customer creates their Twin once and it works on every brand on it — and it doesn't travel alone. Sizes worn, outfit preferences and saved looks come with it, so your store is more personal on the first visit than theirs was. Platform-agnostic: Shopify, BigCommerce, whatever the next brand runs on.

Every brand that joins compounds the value for every other — and the founding cohort builds the database everyone else walks into.

+ Brand control

See exactly what moved — in your own store admin.

Try-on, concierge and add-to-cart metrics, engagement and conversion signals, customer demographics and top sizes, return-rate signals, token usage and trends — and an editable sizing matrix. Plus the levers: batch mode, VIP selection, render-from date, lighting and background, prompt controls and tone. It lives inside your Shopify or BigCommerce admin, so the people who run the store see it where they already work.

Brand analytics dashboard
Virtue Mirage on a storefront
+ Built for commerce

Installs in about an hour. No rebuild.

Full experience on Shopify and BigCommerce today — a Theme App Extension on Shopify (any theme Shopify renders) or a script snippet on BigCommerce; installs in about an hour, no rebuild, no customer app to download. Running something else? Our drop-in SDK and API bring try-on, sizing and the network to any platform — headless, custom, or anything in between.

+ Pricing

Every feature, on every plan.

All consumer features are unlocked on every plan — try-on, batch pre-renders, the AI Stylist Concierge, Complete the Look, My Looks, and the cross-brand network. Plans differ only by monthly capacity. The brand pays from its allowance; the shopper never pays.

Starter
Boutique volume
Growth
Scaling brands
Studio
Mid-volume
Scale
High-volume
Enterprise
Custom + white-label

Founding cohort: onboarding waived, and every customer Twin created in your first month is on us — up to your plan's cap. Founding-cohort pricing, locked for your first 12 months. Prices AUD, +GST.

Be the brand that did it first.

A 20-minute demo on your own catalogue. See your store on your customers.