Stylematch

About Stylematch

Stylematch connects users with vetted personal stylists through a combination of machine learning and human expertise, enabling personalized outfit curation without the hassle of traditional styling services. This approach addresses the common issue of wardrobe dissatisfaction by providing tailored looks at a fraction of the cost, enhancing the overall dressing experience.

Stylematch connects users with vetted personal stylists through a combination of machine learning and human expertise, enabling personalized outfit curation without the hassle of traditional styling services. This approach addresses the common issue of wardrobe dissatisfaction by providing tailored looks at a fraction of the cost, enhancing the overall dressing experience.

What does Stylematch do?

Stylematch connects users with vetted personal stylists through a combination of machine learning and human expertise, enabling personalized outfit curation without the hassle of traditional styling services. This approach addresses the common issue of wardrobe dissatisfaction by providing tailored looks at a fraction of the cost, enhancing the overall dressing experience.

Where is Stylematch located?

Stylematch is based in Nashville, United States.

When was Stylematch founded?

Stylematch was founded in 2023.

Location
Nashville, United States
Founded
2023
Employees
4 employees
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Stylematch

Score: 21/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

Stylematch connects users with vetted personal stylists through a combination of machine learning and human expertise, enabling personalized outfit curation without the hassle of traditional styling services. This approach addresses the common issue of wardrobe dissatisfaction by providing tailored looks at a fraction of the cost, enhancing the overall dressing experience.

stylematch.co10+
Founded 2023 – Nashville, United States

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Company Description

Stylematch connects users with vetted personal stylists through a combination of machine learning and human expertise, enabling personalized outfit curation without the hassle of traditional styling services. This approach addresses the common issue of wardrobe dissatisfaction by providing tailored looks at a fraction of the cost, enhancing the overall dressing experience.