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Dressme

Full company profile

uuid000qbnu

Namestring
Dressme
Company typeenum
Private
Founded yearint
2023
Descriptiontext

Dressme is a Singapore-based, privately held generative AI company founded in 2023 that offers a virtual try-on platform for fashion. According to its company description, Dressme enables users to try on an "endless array of outfits" without leaving home, positioning the product as a consumer-facing virtual fitting experience rather than a B2B tooling layer. The company is early-stage, with a headcount band of 11–50 employees, and operates from a single Singapore location.

The underlying technology is described at a high level as generative AI applied to garment visualization on users, but the input data provides no further detail on the technical stack. There is no information on whether the company builds proprietary diffusion or GAN-based models, fine-tunes third-party foundation models, or partners with model providers. The company's public website (dressmeofficial.com) returns only a loading message at the time of capture, precluding extraction of product features, pricing, supported garment categories, or platform integrations.

The business model cannot be reliably inferred from the available data. No pricing model (subscription, per-try-on, freemium, marketplace commission, or B2B API licensing) is disclosed. There are no named customers, no partner brands or retailers, no revenue figures, and no disclosed funding rounds. With a 2023 founding date and 11–50 employees but no capital-raise or revenue disclosures, the company appears to be in an early commercialization phase with limited publicly verifiable commercial traction.

Short descriptiontext

Dressme is a Singapore-based generative AI startup founded in 2023 that offers a consumer virtual try-on platform for fashion, allowing users to visualize outfits digitally without physical fitting.

Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersSingapore, Singapore
HQ citystring
Singapore
HQ countrystring
Singapore
HQ regionstring
Asia
Markets served

Serves global market

Keyword5 values
virtual try-on, AI fashion technology, generative AI apparel, digital fitting room, AI outfit generation
Industry3 codes
1Virtual Styling & Outfit Planning
CodeHSACAJAFPrimaryYes
2Virtual Closet & Wardrobe Editing
CodeHSAFALABPrimaryNo
3Fashion & Accessories Marketplaces
CodeCRAFABAAPrimaryNo
NAICS code1 code
  • Clothing and Clothing Accessories Retailers4581
SIC code1 code
  • Retail-Apparel & Accessory Stores5600
Product category
Virtual Try-On Software
No data
Cost components5 values
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
GTM typeB2C
B2C
Offering typeSoftware
Software
Core offering1 text field

Dressme provides a generative AI-based virtual try-on application that enables users to digitally try on an endless array of outfits without leaving their home. The product is targeted at individual consumers interested in fashion and clothing visualization through AI-rendered imagery.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Unable to extract product and service information. The source content consisted solely of a loading/verification page ("One moment, please...") from http://dressmeofficial.com/ rather than substantive website content.

Product and service1 record
1Dressme Virtual Try-On
CategoryVirtual Try-On Software
Description

Generative AI-based virtual try-on application that allows users to try on an endless array of outfits without leaving their home, targeted at individual consumers interested in fashion.

Recent move1 record

Each record includes

Date, Type, Title, Description, Source

Expansion highlight1 record

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

Google has shipped AI virtual try-on tools for apparel and Search/Shopping integrations, leveraging massive data and distribution that any standalone try-on startup must contend with.

2ASOS
TypeEmerging player
Description

ASOS's 'See My Fit' feature uses AR/AI to overlay garments on models, a vertical retailer-led approach that could either partner with or compete against Dressme depending on its GTM.

TypeDirect peer
Description

Vue.ai offers AI-powered styling, visual merchandising, and virtual try-on tools for fashion retailers — the most directly comparable B2B virtual try-on / styling platform competitor to Dressme.

TypeRegional player
Description

Myntra (India) has invested heavily in AI try-on and styling features for the Indian market, a regional competitor that also illustrates the APAC appetite for Dressme's category.

TypeBroad incumbent
Description

Acquired by L'Oréal, ModiFace provides AR/AI try-on technology primarily in beauty with adjacent fashion applications — a broad incumbent with overlapping generative visual try-on capabilities.

TypeBroad incumbent
Description

Acquired by Walmart in 2021, Zeekit powers virtual try-on across Walmart's apparel catalogue and represents the largest platform-level deployment of AI virtual try-on technology.

TypeEmerging player
Description

Obsess builds immersive virtual stores and try-on experiences for fashion and beauty brands, an adjacent emerging player in AI/3D shopping experiences.

TypeDirect peer
Description

Reactive Reality's platform 'Mirror' provides AI-driven virtual fitting and outfit visualization for fashion brands, overlapping closely with Dressme's generative AI try-on proposition.

TypeOthers
Description

Ready Player Me provides cross-platform avatar and outfit APIs that fashion brands can plug into for try-on and digital fashion, an enabling/adjacent technology peer in the AI try-on stack.

TypeBroad incumbent
Description

Snap offers AR try-on lenses and shopping tools to fashion brands through its AR Enterprise services, providing a distribution-scale competitor in the virtual try-on space.

Market position
Strengths4 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat2 records

Each record includes

Type, Details

Key risks4 records

Each record includes

Headline, Details, Source

Key highlights4 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Dressme

Virtual Try-On Softwaredressmeofficial.com

Dressme is a Singapore-based generative AI startup founded in 2023 that offers a consumer virtual try-on platform for fashion, allowing users to visualize outfits digitally without physical fitting.

What Dressme does

Dressme is a Singapore-based, privately held generative AI company founded in 2023 that offers a virtual try-on platform for fashion. According to its company description, Dressme enables users to try on an "endless array of outfits" without leaving home, positioning the product as a consumer-facing virtual fitting experience rather than a B2B tooling layer. The company is early-stage, with a headcount band of 11–50 employees, and operates from a single Singapore location.

The underlying technology is described at a high level as generative AI applied to garment visualization on users, but the input data provides no further detail on the technical stack. There is no information on whether the company builds proprietary diffusion or GAN-based models, fine-tunes third-party foundation models, or partners with model providers. The company's public website (dressmeofficial.com) returns only a loading message at the time of capture, precluding extraction of product features, pricing, supported garment categories, or platform integrations.

The business model cannot be reliably inferred from the available data. No pricing model (subscription, per-try-on, freemium, marketplace commission, or B2B API licensing) is disclosed. There are no named customers, no partner brands or retailers, no revenue figures, and no disclosed funding rounds. With a 2023 founding date and 11–50 employees but no capital-raise or revenue disclosures, the company appears to be in an early commercialization phase with limited publicly verifiable commercial traction.

Dressme firmographics

Firmographics
Name
Dressme
Website
https://dressmeofficial.com
Company type
Private
Founded year
2023
Headcount range
1–10 employees
Short description
Dressme is a Singapore-based generative AI startup founded in 2023 that offers a consumer virtual try-on platform for fashion, allowing users to visualize outfits digitally without physical fitting.
Ownership category
akta.pro rank

Dressme industry classification

Industry
Product category
Virtual Try-On Software
NAICS
Clothing and Clothing Accessories Retailers (4581)
SIC
Retail-Apparel & Accessory Stores (5600)
akta.pro primary industry
Virtual Styling & Outfit Planning (HSACAJAF)
akta.pro secondary industries
Virtual Closet & Wardrobe Editing (HSAFALAB), Fashion & Accessories Marketplaces (CRAFABAA)

Keywords

  • Virtual try-on
  • AI fashion technology
  • Generative AI apparel
  • Digital fitting room
  • AI outfit generation

Where Dressme is headquartered

Location

Headquarters

HQ city
Singapore
HQ country
Singapore
HQ region
Asia

Markets served

Dressme business model

Business model
GTM type
B2C
Offering type
Software
Cost components
Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Dressme product offering

Product offering

Core offering

Dressme provides a generative AI-based virtual try-on application that enables users to digitally try on an endless array of outfits without leaving their home. The product is targeted at individual consumers interested in fashion and clothing visualization through AI-rendered imagery.

Product overview

Unable to extract product and service information. The source content consisted solely of a loading/verification page ("One moment, please...") from http://dressmeofficial.com/ rather than substantive website content.

Differentiator

Problem solved

Functional benefit

Products and services

  • Dressme Virtual Try-On Generative AI-based virtual try-on application that allows users to try on an endless array of outfits without leaving their home, targeted at individual consumers interested in fashion.

Companies that use Dressme

Customer profile

Ideal customer profiles1 record

Dressme technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Dressme partnerships and signals

Strategic signal

Recent moves1 record

Expansion highlights1 record

Dressme competitors and assessment

Company assessment

Broad incumbents

  • Google: Google has shipped AI virtual try-on tools for apparel and Search/Shopping integrations, leveraging massive data and distribution that any standalone try-on startup must contend with.
  • ModiFace: Acquired by L'Oréal, ModiFace provides AR/AI try-on technology primarily in beauty with adjacent fashion applications — a broad incumbent with overlapping generative visual try-on capabilities.
  • Zeekit: Acquired by Walmart in 2021, Zeekit powers virtual try-on across Walmart's apparel catalogue and represents the largest platform-level deployment of AI virtual try-on technology.
  • Snap: Snap offers AR try-on lenses and shopping tools to fashion brands through its AR Enterprise services, providing a distribution-scale competitor in the virtual try-on space.

Emerging players

  • ASOS: ASOS's 'See My Fit' feature uses AR/AI to overlay garments on models, a vertical retailer-led approach that could either partner with or compete against Dressme depending on its GTM.
  • Obsess: Obsess builds immersive virtual stores and try-on experiences for fashion and beauty brands, an adjacent emerging player in AI/3D shopping experiences.

Direct peers

  • Vue.ai: Vue.ai offers AI-powered styling, visual merchandising, and virtual try-on tools for fashion retailers — the most directly comparable B2B virtual try-on / styling platform competitor to Dressme.
  • Reactive Reality: Reactive Reality's platform 'Mirror' provides AI-driven virtual fitting and outfit visualization for fashion brands, overlapping closely with Dressme's generative AI try-on proposition.

Regional players

  • Myntra: Myntra (India) has invested heavily in AI try-on and styling features for the Indian market, a regional competitor that also illustrates the APAC appetite for Dressme's category.

Others

  • Ready Player Me: Ready Player Me provides cross-platform avatar and outfit APIs that fashion brands can plug into for try-on and digital fashion, an enabling/adjacent technology peer in the AI try-on stack.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat2 records

Key risks4 records

Key highlights4 records

Customer concentration

Dressme financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Dressme leadership team

Management profile

Number of profiles

Dressme funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Dressme M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Dressme

What does Dressme do?

Dressme provides a generative AI-based virtual try-on application that enables users to digitally try on an endless array of outfits without leaving their home. The product is targeted at individual consumers interested in fashion and clothing visualization through AI-rendered imagery.

When was Dressme founded?

Dressme was founded in 2023. It employs 1 to 10 people.

Where is Dressme based?

Dressme is headquartered in Singapore, Singapore, in the Asia region.

Who are Dressme's main competitors?

Broad incumbents on record are Google, ModiFace, Zeekit and Snap. Emerging players are ASOS and Obsess. Direct peers are Vue.ai and Reactive Reality. Myntra is listed as a regional player. Ready Player Me is listed as an others.

Does Dressme have an API?

No public API is recorded for Dressme.

What industry is Dressme in?

Dressme's product category is Virtual Try-On Software. Its primary akta.pro industry code is HSACAJAF, Virtual Styling & Outfit Planning, with a secondary code of HSAFALAB, Virtual Closet & Wardrobe Editing. Its NAICS code is 4581 and its SIC code is 5600.

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