Reads every face accurately.
From a selfie, MaIA identifies skin type, undertone, texture, hydration, hair profile and sensitivity markers — the input layer for recommendations made with confidence.
AI skin analysis for beauty brands
One advisor. Every consumer touchpoint.
MaIA turns a selfie into a detailed beauty profile — skin type, undertone, hair profile, sensitivity, and product preferences — and puts that profile to work wherever your consumers decide what to buy.
Talk to our team about MaIAAdvises like your best consultant.
Conversational AI for beauty e-commerce: your customer asks "what works for my skin?" and MaIA answers with specific SKUs from your inventory, explaining why each one fits.
Recommends from your catalog.
Hyper-personalized product recommendations across thousands of SKUs — matched to each consumer's beauty profile, not to a generic segment.
Feeds sampling and CRM.
The beauty profiles MaIA builds also power intelligent sampling and segmentation — so trial campaigns and lifecycle marketing reach the consumers who actually fit your formulation.
Data moat
Trained on one of the world's richest beauty datasets.
MaIA was built from hundreds of thousands of Brazilian consumer selfies. Brazil's ethnic diversity means that dataset spans the world's skin tones and hair types — making MaIA uniquely strong for global deployment, where beauty AI trained on mostly US and European faces falls short.
- Hundreds of thousands of Brazilian consumer selfies behind every read
- Brazil's ethnic diversity: a dataset that spans the world's skin tones and hair types
- Closed loop: advice, purchase and review data continuously sharpen recommendations
- The same engine that powers personalization on glam and Men's Market today
White-label MaIA
Two products. One engine. Your brand.
MaIA ships white-label as two complementary products. Your design system stays intact; MaIA powers the logic underneath.
Reads the customer.
Your customer takes a selfie on your site. MaIAScan identifies skin type, undertone, hair profile, sensitivity markers, and beauty preferences — the input layer for everything that happens next.
Drop it into your product page, your checkout, or your post-purchase flow. The customer gets to know themselves; you get the data to recommend with confidence.
Closes the sale.
Pairs MaIAScan's customer profile with your product catalog to run a one-to-one beauty consultation. Your customer asks 'what works for my skin?' — MaIAChat answers with specific SKUs from your inventory, explains why each one fits, handles objections, and moves the conversation toward a confident purchase.
Replaces the chatbot. Replaces the static FAQ. Replaces the in-store beauty advisor — at infinite scale, 24 hours a day.
API or front-end widget. Works on Shopify, VTEX, custom stacks.
How it integrates
From kickoff to live advisor.
1
Connect your catalog
Your products are profiled by category, ingredients and skin/hair fit, so MaIA recommends from your inventory — and only your inventory.
2
Drop in the widget or call the API
MaIAScan and MaIAChat integrate via front-end widget or API, on Shopify, VTEX and custom stacks — under your brand and your design system.
3
MaIA advises and converts
Your customers get a one-to-one beauty consultation at infinite scale, 24 hours a day — and every conversation deepens what MaIA knows about what fits them.
Get started
Bring the AI beauty advisor to your store.
Tell us about your brand and your catalog. We'll show you MaIA reading a selfie and recommending your products — live.
FAQ
Frequently asked questions
What is an AI beauty advisor?
An AI beauty advisor analyzes a consumer's skin and hair — typically from a selfie and a short conversation — and recommends the products that actually fit. MaIA, B4A's AI beauty advisor, builds a detailed beauty profile covering skin type, undertone, hair profile, sensitivity and preferences, then recommends specific products and explains why each one fits.
How does white-label beauty AI work?
White-label means MaIA runs inside your own store, under your brand. Your design system stays intact while MaIA powers the logic underneath: MaIAScan reads the customer's profile from a selfie on your site, and MaIAChat runs the consultation and recommends products from your catalog — the same engine that powers glam and Men's Market.
What data was MaIA trained on?
MaIA was built from hundreds of thousands of Brazilian consumer selfies, connected to real purchase and review behavior. Because of Brazil's ethnic diversity, that dataset spans the world's skin tones and hair types — making MaIA uniquely strong for global deployment, where beauty AI trained mostly on US and European faces falls short.
Does MaIA offer a skin analysis API?
Yes. MaIA integrates via API or front-end widget and works on Shopify, VTEX and custom stacks. MaIAScan exposes the skin and hair analysis — skin type, undertone, texture, hair profile and sensitivity markers — so you can use the beauty profile in your own flows, from product pages to post-purchase.
Can MaIA recommend products from our own catalog?
That's exactly how it works. Your products are profiled by category, ingredients and skin/hair fit; MaIAChat then pairs each customer's beauty profile with that catalog to answer questions like "what works for my skin?" with specific SKUs from your inventory — handling objections and guiding the customer to a confident purchase.
Contact Us
Want to plug your brand into the world's largest beauty creator network and the AI behind it?
B4A Serviços de Tecnologia e Comércio S.A.
Avenida Jornalista Roberto Marinho, nº 85, 17º Andar (Conjuntos 171 e 172), Cidade Monções - CEP 04576-010 - Cidade de São Paulo, Estado de São Paulo