Fringuant provides an AI-driven sizing tool that delivers personalized size recommendations on product pages, helping fashion brands improve fit confidence. It also offers a virtual studio that generates brand‑aligned product visuals, packshots, and videos from a single image at scale. The unified platform includes analytics to monitor conversion, return rates, and content performance, enabling data‑driven inventory and marketing decisions.
Funding
$280K 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 apparel shopping suffers from high return rates due to inaccurate sizing, leading to increased costs for retailers and frustration for consumers. Determining the correct garment size without physically trying it on remains a significant challenge.
Solution
Fringuant offers a body scanning and garment matching solution that aims to improve the accuracy of online clothing purchases. Using body scanning technology, Fringuant captures precise user morphology and compares it with garment dimensions to recommend the best fit. This process helps reduce the likelihood of incorrect sizing, leading to fewer returns and increased customer satisfaction. The solution integrates into existing e-commerce platforms, providing shoppers with personalized size recommendations for each item. By leveraging AI and fashion expertise, Fringuant seeks to reinvent the online shopping experience, building customer trust and reducing environmental impact.
Target Audience
Fringuant's primary customers are online fashion retailers looking to reduce return rates and improve customer satisfaction, as well as consumers seeking a more accurate and personalized online shopping experience.
Features
- Body scanning technology for accurate morphology capture
- Garment dimension matching for precise size recommendations
- Integration with e-commerce platforms via API
- Personalized size suggestions based on individual body measurements
- AI-powered algorithms for improved fit accuracy