MakeupDNA uses a selfie‑based quiz to generate a personalized makeup profile that matches a user’s facial features, skin tone, and style preferences. The platform then offers instant virtual previews of tailored looks, recommending products the user already owns and suggesting new combinations, helping both beginners and experienced users find flattering makeup without buying unnecessary items.
Funding
Funding not disclosed
Founders
Product
Problem
Many consumers struggle to find makeup styles and product combinations that suit their unique facial features, skin tone, and personal preferences, often relying on generic advice or trial-and-error with new products.
Solution
Makeup DNA offers a two‑minute selfie quiz that analyzes a user’s facial features, coloring, and makeup habits using AI-driven smart face mapping. The service generates a fully personalized makeup profile, providing instant visual previews of recommended looks directly on the user’s face. It also suggests product‑compatible recommendations that work with items the user already owns, helping them discover new styles such as optimal eyebrow shapes or color palettes without purchasing an entire new collection.
Target Audience
Primary users are individual makeup enthusiasts and beginners seeking tailored style guidance, as well as beauty retailers looking to offer personalized recommendations to their customers.
Features
- AI-powered smart face mapping that extracts facial geometry from a single uploaded selfie
- Instant look previews rendered on the user’s image, showing how recommended styles appear in real time
- Personalized makeup profile based on quiz responses covering skin tone, eye color, skill level, and existing products
- Product recommendations that prioritize items already in the user’s makeup drawer, reducing unnecessary purchases
- Beginner‑friendly interface with guided quiz and clear visual feedback
- On‑device face detection during selfie capture to assist framing, with no persistent facial data stored on servers