AI TRY-ON & SKIN ENGINES FOR BEAUTY BRANDS

Let shoppers see it
on themselves — before they buy.

Convo builds white-labeled AI engines — nail try-on, lipstick try-on, and skin-matched recommendations — trained on your own catalogue and deployed directly on your store. Not a plugin. Not generic. Yours.

Try 3 demos free — no signup Book a brand walkthrough
BUILT FOR PAKISTANI & GULF BEAUTY BRANDS · SHOPIFY-READY
Nail Mirror — live preview
matching shade 4 of 12
Rosewood
Terracotta
Mauve
Emerald
"Rosewood 12 is your closest match to Medora's bestseller — want to see it on your own hand?"
The problem

Beauty is the most personal category online — sold the least personally.

✕

No way to swatch

A shopper can't hold a shade to their skin tone through a product photo. So they guess, hesitate, or leave.

✕

No one to ask

"Will this suit my skin type?" is the exact question a counter assistant answers in seconds — and an online store can't.

✕

Generic quizzes don't help

Most local skin quizzes run on simple if-else logic and only ever recommend their own products, real or not.

What we build

Three engines. Each one, your brand's own.

Every engine is trained and skinned on your specific catalogue — not a shared multi-brand tool. Your shoppers experience it as part of your site.

ENGINE 01

Nail Mirror

Shoppers upload a hand photo or use their camera, pick a shade family, and see every shade from your catalogue rendered on their own hand in a grid — true to shelf color.

MediaPipe hand trackingPer-brand shade library
ENGINE 02

Lipstick Mirror

The same true-to-shade preview technology, mapped to the lip line instead of the nail plate — built for foundation, tint, and lipstick ranges.

Facial landmark mappingFinish-aware rendering
ENGINE 03

DermIQ

A short, natural conversation — skin type, sensitivity, climate, concern, severity — ending in real products from your own catalogue, with a plain-language reason why.

Gemini + Groq fallbackRandom Forest matching
How deployment works

From your catalogue to a live widget — in four steps

1

We map your catalogue

Your product list — names, images, prices, ingredients or shade data — is structured into a format each engine can read.

2

We label it with AI

Gemini analyzes ingredient lists or shade tones and tags every product by skin type, concern, and finish — so matching is accurate, not keyword-based.

3

We skin it to your brand

Colors, type, and tone are set to match your storefront. Shoppers experience it as your feature, never a bolted-on plugin.

4

You go live

The widget is embedded on your product pages. No developer required on your side — we handle the integration.

Two ways in

Own it on your site, or list on ours

White-label deployment

A one-time build fee to fully customize an engine to your catalogue and brand, deployed directly on your own website. You own the experience end to end.

See deployment pricing

Marketplace listing

Smaller brands can skip building anything themselves — pay a monthly fee to list products on Convo's own multi-brand consumer platform instead.

See listing pricing
Why Convo

Real AI, not an if-else quiz. Fast setup, not an enterprise sales cycle.

Local quiz tools Enterprise platforms Convo
Real AI matching Rule-based only Yes Yes
Built for your catalogue only Own products only Yes Yes
Visual try-on (nail/lip) No Limited Yes
Setup time Fast Weeks, dev-heavy Days
Priced for Pakistani/Gulf brands Yes No Yes
Convo is currently onboarding its first pilot brands. We're not going to invent client logos or testimonials to look further along than we are — what you see in the demo is the actual engine, and the first case studies will appear here as real brands go live.

See your own catalogue inside Convo

Three free trials, no signup, across all three engines.

Try It Free