Business overview
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TrustScore Analysis
Our preliminary analysis has revealed key insights about MACHINE LEARNING's performance and market presence. Here's a summary of our findings:
Terms explained: Claimed, Certificate of Verified Business Entity, and Verified.
Strengths Identified
Areas of Concern
- MACHINE LEARNING is relatively new (3 years).
How your TrustScore is determined
This profile is compiled from publicly available data sources. TrustScore is a data-aggregation metric — not a legal determination or recommendation. A score below 50 does not indicate fraudulent conduct.
Profile data last updated: 05 Jul 2026. See scam.sg/terminology for definitions.
Corporate Information
UEN
53473531B
Status
Live
Entity type
Sole Proprietorship/ Partnership
Company type
—
ACRA registration
14 Sept 2023
UEN issue date
14 Sept 2023
No. of officers
1
Annual return date
—
Contact
Social media
Business activity
Primary
Data analytics, processing and related activities n.e.c.
SSIC: 63119
Certifications & Endorsements
Recognised certifications and endorsements issued by independent certifying bodies.
No certificates yet
Certificates will appear here once they are available.
Certifications displayed here are issued by independent certifying bodies and recognised by Scam.SG. Scam.SG does not issue these certifications. For verification, contact the issuing body directly. Scam.SG is an appointed agency of Data Bureau (Singapore). Certificates of Verified Business Entity are issued by Data Bureau (Singapore) independently.
Profile Activity for MACHINE LEARNING
Analytics and engagement metrics from recent Scam.SG visitor traffic patterns and profile interactions over the past 14 days.
Steady
Comparable to other Data Analytics, Processing And Related Activities N.e.c. companies
Public Preview of MACHINE LEARNING
This is only a preview of the TrustScore results for MACHINE LEARNING, showcasing a few facets of its business that we have analysed.
Foundational Stage
A young brand or company in the early stage of organisation structures, framework, processes, workflow, systems.
MACHINE LEARNING has been an actively registered business in Singapore for several years, indicating an established presence in its industry. The company is managed by a single registered officer, which is typical for sole proprietorships and micro-enterprises. The company's registration details, including its business address and identifying information, are fully documented and verifiable through official records.
MACHINE LEARNING does not currently have descriptive content across its assessed social media profiles.
As a relatively young business, MACHINE LEARNING is in the early stages of building its market reputation. The company's reputation profile is currently limited, largely reflecting the early stage of its public presence.
MACHINE LEARNING currently has a minimal recorded digital footprint across the platforms assessed. No active social media engagement was recorded for this company across the platforms assessed. Its digital presence is largely driven by its registered business history rather than active online engagement.
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TrustScore Last Scanned:
05 Jul 2026MACHINE LEARNING Job Openings
Explore available job positions and career opportunities currently offered by MACHINE LEARNING.
No Job Openings Available
MACHINE LEARNINGdoesn't have any active job listings at the moment. Check back later for new opportunities.
Related Business Entities to MACHINE LEARNING
Explore Singapore-registered businesses that share similar characteristics with MACHINE LEARNING, including companies with related names, operating in the same industry sectors, or located in nearby geographical areas.
Similar Business Names
Companies with names similar to MACHINE LEARNING
Nearby Businesses
Businesses located in 9 NORTH BRIDGE ROAD, Singapore 190009
Similar Principal Activity
Companies with the same primary SSIC code: 63119
Frequently Asked Questions About MACHINE LEARNING
Common questions and answers to help you learn more about MACHINE LEARNING
MACHINE LEARNING has been in operation for 3 years since its incorporation in 14 September 2023 based on ACRA registration date. The business is registered with ACRA (Accounting and Corporate Regulatory Authority) under UEN 53473531B.
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