The startup has developed an AI-driven body measurement platform that analyzes user-uploaded photos to predict body shape and size under clothing. This technology provides precise size recommendations and detailed fit information, enabling users to understand how garments will fit before making a purchase.
Funding
$17M 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
Inaccurate sizing in apparel and other industries leads to customer dissatisfaction, increased return rates, and operational inefficiencies. Traditional body measurement methods are often time-consuming, require specialized equipment, or lack the precision needed for personalized product recommendations.
Solution
Bodygram offers an AI-powered body measurement platform that enables users to obtain accurate body measurements and insights using only a smartphone. By analyzing two photos, Bodygram's technology extracts 35 precise body measurements, estimates body composition, and analyzes posture, all within seconds. The platform provides a 3D avatar and detailed body data that can be integrated into various applications through extensively documented APIs and no-code solutions. This allows businesses to offer personalized product recommendations, improve sizing accuracy, and enhance customer experiences across industries such as apparel, health and wellness, and uniform manufacturing.
Target Audience
Bodygram targets businesses in apparel, health and wellness, uniform manufacturing, and related industries seeking to improve customer experience, reduce return rates, and optimize sizing accuracy.
Features
- AI-driven body scanning using two photos taken on a smartphone
- Extraction of 35 body measurements, posture analysis, and body composition estimation
- Generation of a 3D avatar based on body measurements
- API and no-code solutions for seamless integration into existing applications
- Capability to scan users while clothed
- Data accuracy and consistency compliant with ISO 8559 standards
- Synthetic data augmentation to improve AI training and accuracy across diverse body types