THE MIGHTY MAIDS Business Review

Unverified Company

Generally trustworthy, but minor verification is advised.

Business Overview

THE MIGHTY MAIDS (Partnership) is an organisation established on 13 Sep 2002 and its current status is
Live
. The organisation is located at 55 SIGLAP ROAD #B1-24, SIGLAP CENTRE, Singapore 455871. The organisation operates in the field of laundry and dry cleaning services except self-operated laundries and domestic/household cleaning services (excluding online marketplaces).
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TrustScore

81

THE MIGHTY MAIDS

UEN:52977897A

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TrustScore Analysis

Low Risk

THE MIGHTY MAIDS has a TrustScore of 81. Businesses in this range are generally considered reliable. However, it's still advisable to conduct reasonable checks before engaging in transactions.

Our preliminary analysis has revealed key insights about THE MIGHTY MAIDS's performance and market presence. Here‘s a summary of our findings:

Positive highlights

  • Has been operational for several years

  • Official business profile found on major search engines

Negative highlights

  • No employer brand presence on career platforms
  • May not have contact information online

THE MIGHTY MAIDS's Business Reviews

No reviews available

Corporate Information for THE MIGHTY MAIDS

Company Name:THE MIGHTY MAIDS
UEN:52977897A
Entity Type:Sole Proprietorship/ Partnership
Entity Status:
Live
Registration Date:13 Sep 2002
UEN Issue Date:13 Sep 2002

Contact Information for THE MIGHTY MAIDS

Address Type:LOCAL
Postal Code:455871
Phone:
No phone available
Email:
No email available
Website:
No website available
Social Media:
No social media available

Company Industry

Singapore Standard Industrial Classification (SSIC)

Primary SSIC Code:

96011

Primary SSIC Description:

Laundry and dry cleaning services except self-operated laundries

Secondary SSIC Code:81212
Secondary SSIC Description:

Domestic/Household cleaning services (excluding online marketplaces)

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Scam.SG's TrustScore is an AI-driven engine that evaluates a business's trustworthiness by analysing data such as customer feedback, behavioral patterns, and compliance records. This comprehensive assessment results in a numerical score reflecting the entity's reliability.

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