Haut.AI
Haut.AI · Image
Haut.AI is an AI skin analysis platform that beauty brands embed in their sites and apps. Its diagnostics read 150+ skin parameters from a selfie and turn them into product picks.
About Haut.AI
What Is Haut.AI
Haut.AI is a business-to-business skincare platform. It sells not to shoppers but to the brands and retailers that serve them, giving them an AI engine that analyzes a customer's face from a phone selfie and recommends products based on what the skin actually shows.
The core is an AI skin analysis engine that detects more than 150 facial biomarkers across skin health and beauty metrics, from hydration and redness to wrinkles and pigmentation. These AI skin diagnostics run on a single selfie and return a structured profile a brand can act on. On top of that sit two companion tools. Skin.Chat is a conversational assistant that walks a shopper from a concern to a checkout, in the brand's own tone. SkinGPT generates photorealistic simulations of how a product might change someone's skin over time.
The limits matter if you are evaluating it. Haut.AI is not a consumer app you can download and test on a whim. You request a demo or pricing, then integrate a widget or call the API. There is no free public plan, and the cost depends on usage. The analysis is also cosmetic, not medical. It reads visible skin features for product matching, and the company does not position it as a diagnostic tool for skin conditions.
Getting Started
- Request a demo from the Haut.AI site and agree on a deployment path, either the no-code SaaS widget or server-to-server API access.
- Connect the widget to your e-commerce platform and link it to your product catalog. Shopify and WooCommerce sync inventory automatically.
- Let customers take a selfie through the built-in smart camera, which feeds the image to the analysis engine.
- Get back the skin metrics and the AI recommendation engine's suggested products for that customer's profile.
- Review the results in your dashboard and tune the recommendation rules or the interface to fit your brand.
Product Information
A quick look at Haut.AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Beauty brand product teams
- E-commerce and retail managers
- Skincare marketers
Tasks
- Powering personalized product recommendations
- Embedding a virtual skin consultation
- Plotting product claims
Scenarios
- A brand wants a fast skin analysis feature without hiring a computer vision team.
- A retailer wants to lift online conversion with a guided routine builder tied to real inventory.
- An enterprise is co-creating a custom tool and needs a partner to handle strategy through launch.
Key features
Multi-Parameter Skin Analysis
The engine detects more than 150 multidimensional facial biomarkers from one photo, covering skin health and beauty metrics. Haut.AI says the model was trained on over three million data points and reports clinical-grade diagnostic accuracy of around 98% against expert-labeled datasets. That spread of parameters is what lets a single selfie feed detailed product matching rather than a rough skin type guess.
Personalized Recommendation Engine
Behind the analysis sits a set of algorithms that map skin metrics to products in a brand's catalog, so recommendations reflect the items the brand actually sells. The setup supports 94 algorithms aimed at personalization, and the recommendation rules can be customized to a given product range or business priority.
Skin.Chat Assistant
Skin.Chat is an always-on conversational companion that guides a shopper from a skin concern toward a purchase. It adapts to each brand's tone, style, and communication guidelines, then recommends products, explains the reasoning, and adds items to the cart without the shopper leaving the chat. For brands, it acts as a skincare-aware sales layer that stays on message.
SkinGPT Simulations
SkinGPT is generative AI that simulates the visible effects of skincare products on real skin before a purchase. It produces lifelike virtual skincare try-ons and can show how key ingredients may shift visible skin parameters over time. Brands use these visuals to bring product claims to life with images rather than text alone. Givaudan Active Beauty used it to preview an active ingredient at a trade show.
No-Code and API Deployment
Haut.AI offers two paths. The no-code SaaS option delivers a fully branded consumer experience as an iframe embed or a direct link, with automatic inventory sync for Shopify and WooCommerce. The API route is server-to-server, so calls run from a brand's own infrastructure rather than the browser, which keeps integration inside its own security boundary.
Azure and AppSource Integration
Haut.AI is available on Microsoft AppSource and integrates with Azure for enterprise customers. That gives larger teams a way to deploy it inside Microsoft's cloud infrastructure and buy it through a channel many enterprises already use for procurement.
Pros and cons
Pros
- Deep metric coverage: 150+ skin parameters from one photo gives recommendation systems far more to work with than a basic skin type check.
- Two deployment routes: a no-code widget for quick launches and a server-to-server API for teams that want the analysis inside their own back end.
- Conversational and visual layers: Skin.Chat handles the sales conversation while SkinGPT supplies ingredient visuals, covering both the pitch and the proof.
- Enterprise credibility: public brand references include Beiersdorf, Ulta Beauty, Neutrogena, and Grupo Boticário.
Cons
- No transparent pricing: costs are quoted only after a demo request, so small brands cannot estimate budget before a sales call.
- No free public tier: you cannot test the analysis on your own without going through the company, which slows evaluation.
- Cosmetic scope: it reads visible skin features for product matching, not medical conditions, so anything clinical needs a separate tool.
- Integration still required: even the no-code widget needs catalog hooks and brand setup, so it is not a same-day launch out of the box.
Frequently asked questions
Haut.AI analyzes a customer's face from a selfie and turns the results into personalized skincare product recommendations. Beauty brands embed it in their sites or apps to guide shoppers toward items that match their skin.
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