SOPHON TECH PTE. LTD. Business Review

Unverified Company

Generally trustworthy, but minor verification is advised.

Business Overview

SOPHON TECH PTE. LTD. is an organisation established on 14 Jan 2019 and its current status is
Live Company
. The organisation is located at 3 FRASER STREET #04-23A, DUO TOWER, Singapore 189352. The organisation operates in the field of management consultancy services and development of software and applications (except games and cybersecurity).
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TrustScore

71

SOPHON TECH PTE. LTD.

UEN:201901733E

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TrustScore Analysis

Low Risk

SOPHON TECH PTE. LTD. has a TrustScore of 71. 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 SOPHON TECH PTE. LTD.'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

SOPHON TECH PTE. LTD.'s Business Reviews

No reviews available

Corporate Information for SOPHON TECH PTE. LTD.

Company Name:SOPHON TECH PTE. LTD.
UEN:201901733E
Entity Type:Local Company
Entity Status:
Live Company
Registration Date:14 Jan 2019
UEN Issue Date:14 Jan 2019

Contact Information for SOPHON TECH PTE. LTD.

Address Type:LOCAL
Postal Code:189352
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:

70201

Primary SSIC Description:

Management consultancy services

Secondary SSIC Code:62011
Secondary SSIC Description:

Development of software and applications (except games and cybersecurity)

Frequently Asked Questions

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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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