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DeepGears logo — Online shopping for clothes made simple

DeepGears

Online shopping for clothes made simple

Founded 2020 United Kingdom London, United Kingdom 4 employees Seed Total: $250.00K Computer Vision, E-Commerce +3

General Information

Company Name DeepGears
Founded Year 2020
Location United Kingdom London, United Kingdom
Employees 4
Industries Computer Vision, E-Commerce, Fashion +2
Funding Stage Seed
Social

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About DeepGears

DeepGears is a United Kingdom-based startup that focuses on simplifying online clothes shopping with their slogan "Online shopping for clothes made simple." The company addresses the problem of incorrect sizes and unmet expectations in garment fit, which have led to a significant increase in apparel returns, particularly during the pandemic. DeepGears aims to solve this issue by developing software that allows online shoppers to visualize how garments truly fit on their virtual character, using their own body measurements. This allows them to find their perfect size and discover recommended products based on advanced analytics. The company's software is projected to result in a 20+% increase in sales and a 30+% reduction in returns, offering an attractive value proposition for retailers while also contributing to a reduction in CO2 emissions in the fashion industry. DeepGears recently received a $250.00K Seed Round investment from Newchip Accelerator on 03 March 2022. With its innovative approach and timely solution to a pressing issue in the e-commerce and fashion industries, DeepGears presents an intriguing investment opportunity.

Business keywords: E-commerce technology, Virtual fitting, Machine learning, Online retail, Apparel technology, Retail analytics, Customer experience optimization, Visual merchandising, Retail software, Consumer behavior analysis

Services & Products

3D technology
virtual fitting rooms
digital twin fit predictors
e-commerce technology
sustainable technology
phygital applications

Target Customers

Fashion retailers e-commerce platforms online marketplaces fashion brands

Funding Rounds & Investors (2)

View All
Funding Stage Amount Investors Lead Investors Date
Seed Round $250.00K 1
Newchip Accelerator
03 Mar 2022
Pre Seed Round Undisclosed 1
APX
APX
21 May 2021

DeepGears Alternatives & Competitors

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DeepGears vs
EyeFitU
EyeFitU Switzerland

EyeFitU is a Size-as-a-Service AI software company for Apparel and Footwear retailers.

Angel
13 employees
AI, Advertising
DeepGears vs
AstraFit
AstraFit Ukraine

Online fitting room for large and small retailers. The most personalized shopping experience availab...

Grant
6 employees
E-Commerce, Fashion
DeepGears vs
Trendage
Trendage United States

Creative Machine Learning solutions for the Apparel, Accessories and Footwear industry.

Seed
4 employees
AI, Fashion
View all alternatives

FAQ About DeepGears

Online shopping for clothes made simple
DeepGears was founded in 2020.
DeepGears is headquartered in London, United Kingdom.
DeepGears operates in Computer Vision, E-Commerce, Fashion, Apparel and Machine Learning. Its work centres on E-commerce technology, Virtual fitting, Machine learning and Online retail. Its customers include Fashion retailers, e-commerce platforms and online marketplaces.
DeepGears has approximately 4 employees.
DeepGears has completed 2 funding rounds, raising a total of $250.00K. The latest funding stage is Seed.
DeepGears offers: 3D technology, virtual fitting rooms, digital twin fit predictors, e-commerce technology, sustainable technology, phygital applications.
Top alternatives and competitors to DeepGears include EyeFitU, AstraFit, Trendage, New Time Zone, iLenze. These companies operate in related industries and serve comparable markets. You can compare them side by side on Bounce Watch.
DeepGears and EyeFitU are both companies in similar industries. Compare their funding, team size, growth signals, and market position on Bounce Watch to see which one fits your needs.

Source: BounceWatch company record for DeepGears, https://bouncewatch.com/company/deepgears, updated 13 April 2025. When citing, please name BounceWatch and link this page.

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