She scans with her phone. Seconds later, your store matches products to her skin.
A selfie becomes a full picture of her skin, and the products, timing and follow-up that grow every basket.
The same scan, read as accurately on the deepest skin as the lightest.


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 ↗
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 ↗
Clinical rules check each product match before the customer sees it.
How it stays safe ↗
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 ↗
Every scan makes the engine sharper, and the dataset harder to catch.
About ninety seconds from selfie to product match, with no app or appointment required.
She opens her camera and smiles. Nothing to download.
It measures fifteen things about her skin in seconds.
She sees the products for her, straight from your shelves.
Smart reminders bring her back when she runs low.
Bring your products and run real scans. Review the analysis and matches before you commit.