iHairium

iHairium positions itself as a diagnostic layer that sits on top of an existing product catalog rather than as a consumer app. A shopper or client scans a QR code, taps a widget on a retailer's website, or uses a tablet at a salon chair, and answers a short follow-up quiz. The model then identifies visible scalp and hair characteristics and pairs them with the specific SKUs a brand or salon already sells, giving a concrete reason for each recommendation.

The technology is deliberately narrow. Instead of using a general-purpose vision model, iHairium trained a two-stage pipeline on a dataset of expert-annotated scalp images labeled by practicing trichologists and dermatologists, with coverage across major hair types and textures. The company reports hundreds of thousands of completed diagnostics, several years in market, and partner case studies from European and CIS beauty retailers showing improved purchase conversion, average order value, and email capture.

Deployment is designed for non-technical teams. Partners typically add a snippet to their site or install the Shopify app, and iHairium handles catalog mapping and styling. Customer contacts and results stay with the partner and can be exported, and consent is collected during the scan. Pricing is scoped per project based on channels, catalog size and scan volume, so no public price list is published.