Sift is a mobile app that uses AI to generate personalized fashion moodboards from a user's photos, showing how selected clothing items would look on their own body shape, skin tone, and style.
Funding
$17.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Online shoppers often rely on static product images, making it difficult to assess how clothing will look on their own body shape and style preferences. This uncertainty leads to lower confidence in purchase decisions and higher return rates.
Solution
Sift provides a mobile app that creates AI‑generated fashion moodboards using a user's personal photos. By analyzing the user's likeness, the app visualizes how selected clothing items would appear on them, offering a personalized, realistic preview. Users can browse these moodboards to discover styles that match their appearance, reducing guesswork and improving shopping confidence.
Target Audience
Primary users are fashion‑focused consumers who shop online and seek a personalized preview of clothing on themselves, as well as e‑commerce retailers looking to enhance the virtual try‑on experience.
Features
- AI-driven moodboard generation that incorporates the user's uploaded photos for realistic clothing visualization
- Automatic styling suggestions that match the user's body shape, skin tone, and personal aesthetic
- Interactive moodboard interface allowing users to swipe through curated outfit concepts
- Seamless integration of product images into the user's visual context without manual editing
- Real‑time updates as new items are added, keeping the moodboards current with inventory