Description
Haut.AI is a B2B skin analysis platform that helps beauty brands and retailers decode skin health using computer vision trained on millions of facial images. Brands embed its no-code Skin Consultant App or call its API directly to power skin diagnostics, product recommendations, and photorealistic simulations across e-commerce, apps, and in-store kiosks.
Key Features
- Face Analysis 3.0: Delivers clinical-grade skin insights across 29+ parameters from a smartphone selfie.
- LIQA (Live Image Quality Assurance): Guides users to capture a standardized, well-lit selfie for consistent results.
- Skin Atlas: Patented facial anonymization that analyzes only skin pixels, not identity.
- SkinGPT: Generates photorealistic, GenAI-powered simulations of how a product will affect a user’s skin.
- AI Recommendation Engine: Matches skin analysis results instantly to products in a brand’s own catalog.
- Skin Trend Analytics: Aggregated insights that help brands guide product innovation.
How It Works
A user takes a selfie guided by the LIQA smart camera, which checks lighting and positioning before capture. Haut.AI’s algorithms, trained on over 3 million facial images and validated by dermatologists, then evaluate more than 150 facial biomarkers — wrinkles, texture, pigmentation, pore size, and more. The AI recommendation engine matches the results to the brand’s own product catalog, and SkinGPT can simulate how those products would change the user’s skin over time. Brands deploy this as a no-code embed (iframe or link) or integrate it server-to-server through the API.
Technical Architecture & Overview
- Core Engine: Computer vision and deep learning models trained on 3M+ facial images, validated across diverse skin tones.
- Deployment: No-code Skin Consultant App (iframe/embed) or server-to-server API integration.
- API Surface: Server-to-server API for e-commerce, mobile apps, and back-end pipelines; also available on Microsoft AppSource with Azure integration.
- Known Limits: Built specifically for beauty and skincare brands, not a consumer-facing standalone app; pricing scales with usage rather than a flat fee.
Pros & Cons
| Pros | Cons |
|---|---|
| Face Analysis 3.0 brings clinical-grade skin insight to a regular smartphone selfie. | No public pricing — every deployment is a usage-based quote for brands, not individual consumers. |
| Skin Atlas anonymizes faces before analysis, addressing a real privacy concern in facial AI. | Not a consumer app; end users only reach it through a brand’s own site or store. |
| SkinGPT lets shoppers preview product results before buying, backed by real scientific data. | Full customization requires working with Haut.AI’s team rather than pure self-serve setup. |
| Trusted by major brands like Beiersdorf, Ulta Beauty, and Neutrogena, a strong credibility signal. | Deep integrations (Azure, custom pipelines) still require developer resources on the brand’s side. |
Pricing
| Plan | Price |
|---|---|
| Custom | Usage-based, quote per brand |
Platform Availability
Web | API | Microsoft AppSource | Azure
Best For
Beauty and skincare brands | Retailers | Dermatology-adjacent researchers
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Frequently Asked Questions
What is Haut.AI?
Haut.AI is a B2B skin analysis platform that helps beauty brands and retailers offer AI-powered skin diagnostics and personalized product recommendations.
How does Haut.AI analyze skin?
Users take a selfie guided by LIQA’s smart camera, and Haut.AI’s algorithms evaluate more than 150 facial biomarkers, including wrinkles, texture, and pigmentation.
What is SkinGPT?
SkinGPT is Haut.AI’s generative AI tool that creates photorealistic simulations showing how a recommended product will affect a user’s skin.
How much does Haut.AI cost?
Pricing is usage-based and quoted per brand rather than listed publicly, scaling from indie beauty brands to global enterprises.
Can consumers use Haut.AI directly?
No, Haut.AI is a B2B platform — consumers access it through a beauty brand’s own website, app, or in-store kiosk.
