The Skin Intelligence Engine

Give every customer a skin analysis.

She scans with her phone. Seconds later, your store matches products to her skin.

OilinessDark spotsRednessTexture+11
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Deployed and measured across 17+ countries

One analysis. Everything your store needs to sell.

A selfie becomes a full picture of her skin, and the products, timing and follow-up that grow every basket.

Oiliness
7.2/ 10 · T-zone
Dark spots
4.1/ 10 · cheeks
Skin barrier
6.8/ 10
The full journey

Six steps, from selfie to matched routine.

The same scan, read as accurately on the deepest skin as the lightest.

The six step Oyster skin scan journey shown on deep skin
On deep skin
The six step Oyster skin scan journey shown on fair skin
On fair skin
Every shade

Accurate on every skin tone.

Trained on two million real skin images across seven countries, so the analysis is just as sharp on the deepest skin as the lightest.

See dark-skin accuracy
A skin analysis on a deep skin tone
Deep-skin accuracy
98.9%
Real measurement

Measure her skin.

Illustrative report walkthrough. This product screenshot shows an example report, not a live scan or a result for you.

1. Review the summary. The report brings the scan date, captured photos and concern overview together. Open the areas shown to see where each observation belongs.

2. Explore the detail. The concern cards sit alongside the skin summary. These explain what is displayed in the report; the screenshot is not a diagnosis.

3. Continue to the routine. The next step connects the analysis with products from the partner catalogue. Ask for a live demonstration to explore a report with your team.

Measure fifteen markers, including oiliness, dark spots, redness and texture, with a score and location for each.

Request a live walkthrough
Illustrative Oyster scan report with example account, concern cards and skin summary
Safe by design

It never recommends what could harm her.

Clinical rules check each product match before the customer sees it.

How it stays safe
Retail OS · Recommendations
Product recommendations matched and safety-checked in Retail OS
Any phone, anywhere

The phone she already owns is enough.

A budget Android analyses skin as accurately as the newest iPhone, anywhere in the world. No app for her, no hardware for you.

See device coverage
A customer scanning her skin with the Oyster app
Works on
1,400+ phones
Skin analyses and counting
0

Every scan makes the engine sharper, and the dataset harder to catch.

From selfie to sale in four steps.

About ninety seconds from selfie to product match, with no app or appointment required.

Step 01

She scans

She opens her camera and smiles. Nothing to download.

Step 02

Oyster analyses

It measures fifteen things about her skin in seconds.

Step 03

You match & sell

She sees the products for her, straight from your shelves.

Step 04

She comes back

Smart reminders bring her back when she runs low.

What partners see with Oyster.

Questions partners ask.

Does she need to download an app?+
No. She scans right in her browser on any phone. She opens a link or taps a button on your site, and the analysis comes back in about ninety seconds.
Is it accurate on dark skin?+
Yes. 98.9% accurate on deep skin. Most skin tech is trained mostly on lighter skin; Oyster was trained on the largest melanin-rich dataset in the industry, two million images across seven countries.
How long does an analysis take?+
About ninety seconds from selfie to product match, and the analysis itself runs in seconds.
How hard is it to add to my store?+
One line of code and most partners are live in an afternoon, on your website, inside your app, or on a tablet at the counter, all in your own branding.
Who owns the customer data?+
You do. Every customer's data stays private, isolated to your account, and ISO 27001 certified, and compliant with POPIA, NDPR and GDPR.
What does it recommend?+
Only products from your own catalogue, matched to her skin, ranked by fit, and screened for safety before she ever sees them.
See it for yourself

Watch it analyse your own customers' skin.

Bring your products and run real scans. Review the analysis and matches before you commit.