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Maple: AI Fashion Bestie

Maple: AI Fashion Bestie Revenue

Retail Apparel and Fashion1-10 Employees

$

Maple: AI Fashion Bestie revenue & valuation

Annual revenue$769,995
Revenue per employee$86,000
Estimated valuation?$2,500,000
Total fundingNo funding

Key Contacts at Maple: AI Fashion Bestie

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Dominic Cheong

Co-Founder

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Jin Kutsuzawa

Co-Founder Marketing Lead

Company overview

HeadquartersXX
Website
NAICS315
Employees1-10
Socials

About Maple: AI Fashion Bestie

Maple aims to help you look good effortlessly and feel good endlessly. We accomplish this by being your personal AI Fashion Stylist that provide personalised recommendation on your fashion choices to bring you one step closer to a better you. We are starting this journey with you by first understanding your personality, physical traits, fashion style and shopping preferences to recommend outfits and brands that fit you. Mission: To help everyone look good effortlessly and sustainably with personalised fashion products and services. Vision: To create a world where everyone can feel good endlessly by making simple and sustainable fashion choices.

Employees by Management Level

Total employees: 1-10

Seniority

Employees

Entry
Founder/Owner
Manager

Employees by Department

Maple: AI Fashion Bestie has 5 employees across 4 departments.

Departments

Number of employees

Funding Data

Maple: AI Fashion Bestie has never raised funding before.

Frequently asked questions

Maple: AI Fashion Bestie is located in XX.
Maple: AI Fashion Bestie generates an estimated annual revenue of $769,995. This revenue figure reflects the company's market position and business performance in its industry.
Maple: AI Fashion Bestie has an estimated valuation of $2,500,000. This valuation is calculated based on industry-standard revenue multiples and reflects the company's growth potential and market positioning.
Maple: AI Fashion Bestie has approximately 1-10 employees. The company continues to grow its workforce to support its business operations and expansion.

4.8

40,000 users

top 50
high performer
most used
tier 1 accuracy

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