SCINOVA GROUP LLP Business Review

Unverified Company

Trust level is moderate, generally safe but verify details before proceeding.

Business Overview

SCINOVA GROUP LLP is an organisation established on 27 Dec 2023 and its current status is
Live
. The organisation is located at 60 PAYA LEBAR ROAD #07-54, PAYA LEBAR SQUARE, Singapore 409051. The organisation operates in the field of development of software and applications (except games and cybersecurity) and publishing of journals, periodicals and magazines.
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TrustScore

56

SCINOVA GROUP LLP

UEN:T23LL1363K

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TrustScore Analysis

Moderate Risk

SCINOVA GROUP LLP has a TrustScore of 56. Businesses in this range may have certain aspects that warrant closer inspection. Verify all information carefully before proceeding with transactions.

Our preliminary analysis has revealed key insights about SCINOVA GROUP LLP's performance and market presence. Here‘s a summary of our findings:

Positive highlights

  • Official business profile found on major search engines

Negative highlights

  • Is relatively new
  • No employer brand presence on career platforms
  • Not accredited by CaseTrust
  • Does not have accessible contact information online

SCINOVA GROUP LLP's Business Reviews

No reviews available

Corporate Information for SCINOVA GROUP LLP

Company Name:SCINOVA GROUP LLP
UEN:T23LL1363K
Entity Type:LLP
Entity Status:
Live
Registration Date:27 Dec 2023
UEN Issue Date:27 Dec 2023

Contact Information for SCINOVA GROUP LLP

Address Type:LOCAL
Postal Code:409051
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:

62011

Primary SSIC Description:

DEVELOPMENT OF SOFTWARE AND APPLICATIONS (EXCEPT GAMES AND CYBERSECURITY)

Secondary SSIC Code:58132
Secondary SSIC Description:

PUBLISHING OF JOURNALS, PERIODICALS AND MAGAZINES

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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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