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Top Data Labeling Companies in Singapore

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60 companies for Data Labeling in Singapore

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Tictag's Logo

Tictag

Singapore

C

11-50 Employees

-

Key takeaway

Tictag specializes in data labeling, addressing the need for high-quality, structured data in artificial intelligence. Their platform enhances the efficiency of data collection and annotation, providing diverse datasets that empower AI and machine learning models with real-world insights.

Reference

Core business

Data Annotation solutions | Annotation Machine learning Companies | Singapore| Tictag.io

Tictag's innovative mobile UI, allows your data science team to label your datasets efficiently and accurately. Let's talk data!

Edge AI's Logo

Edge AI

Singapore

C

1-10 Employees

2022

Key takeaway

The company offers ready-to-go data labeling solutions that ensure high accuracy and significantly reduce the time needed to obtain labeled data. Their services include various annotation types, such as image and text annotation, which are crucial for enhancing AI and computer vision applications.

Reference

Product

Edge AI - Solutions

Text Annotation

Metadata Technologies SG's Logo

Metadata Technologies SG

Singapore

C

1-10 Employees

2015

Key takeaway

The company specializes in data processing solutions, emphasizing the importance of metadata for efficient data management and accuracy. Their team of data scientists and software engineers focuses on creating and improving data structures, which is crucial for understanding and deploying data effectively.

Reference

Core business

Metadata Technologies - Metadata Core Applications for Businesses

Metadata Technologies includes a team of data scientists and software engineers who create and improve data structures to maintain consistency with data and accuracy.

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betterdata's Logo

betterdata

Singapore

C

1-10 Employees

2021

Key takeaway

The company offers a solution for transforming production data into highly realistic synthetic data, which can replace sensitive or low-quality data in product development and testing. This approach not only preserves privacy but also accelerates innovation by reducing the risks and costs associated with data sharing.

Reference

Product

Data-Marketplace

LazyAnalyst's Logo

LazyAnalyst

Singapore

C

1-10 Employees

2017

Key takeaway

The company emphasizes its commitment to timely delivery and has developed a robust data collection process that is integral to client meetings. Their expansion in reporting and focus on addressing challenges in data management highlights their expertise in data-related services.

Reference

Service

Services - LazyAnalyst

Datanet Studio Pte Ltd's Logo

Datanet Studio Pte Ltd

Singapore

C

1-10 Employees

-

Key takeaway

Datanet Studio emphasizes its commitment to delivering data science solutions that drive business value, which is crucial in successful data labeling projects. Their expertise in analytics and network optimization suggests a strong capability to enhance data quality and utility through effective labeling strategies.

Reference

Core business

Datanet Studio - Your Trusted Data Science Partner

West Coast Label's Logo

West Coast Label

Singapore

C

11-50 Employees

1991

Key takeaway

West Coast Label is a printing provider company that specializes in labels and packaging, offering customizable products designed to meet various branding needs. Their focus on quality and attention to detail ensures a satisfying outcome for clients seeking specialized printing services.

Reference

Core business

West Coast Label - Best Printing Company in Singapore

We are a printing provider company specialising in labels and packaging. Our range of products and services are all customisable to meet any requirement.

Idea Ink's Logo

Idea Ink

Singapore

C

1-10 Employees

2015

Key takeaway

The company specializes in transforming dense content into live visuals and interactive infographics, highlighting their capability for speed and accuracy in data representation. They have experience in illustrating insights effectively, which is crucial for data labeling.

Reference

Service

Services | Thoth.ai

QoreNext's Logo

QoreNext

Singapore

C

11-50 Employees

2021

Key takeaway

The company emphasizes its Qore Data Factory, which significantly enhances data accuracy and reliability to 95-97%. This platform focuses on curating and automating data, incorporating AI and machine learning, making it highly relevant for efficient data labeling and management.

Reference

Product

Platform - Qore

Data Assembly Line (DAL) How we build data products 3 Core Components: AI, Machine Learning & Gig Platform Combining Technology, Collaboration & Empathy Data Categories Facts Fact data describe the factual information pertaining a dataset. Examples include facts about businesses (annual revenue, no. of employees, country origin, location of offices etc.) Because these data are

The Data Knight's Logo

The Data Knight

Singapore

C

1-10 Employees

-

Key takeaway

The Data Knight offers a comprehensive data solution, ensuring accurate and reliable data by crawling publicly available sources and removing duplicates. This focus on data integrity may be highly relevant for businesses seeking effective data labeling services.

Reference

Core business

About Us | The Data Knight


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Products and services for Data Labeling

A selection of suitable products and services provided by verified companies according to your search.

Product: Data Annotation

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Data Annotation

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Information about Data Labeling in Singapore

When exploring the data labeling industry in Singapore, several key considerations are crucial for informed decision-making. The regulatory landscape is essential, as Singapore emphasizes data protection and privacy through the Personal Data Protection Act (PDPA), which mandates strict compliance for companies handling personal data. Understanding these regulations ensures that businesses operate within legal boundaries while maintaining consumer trust. Additionally, the competitive landscape is growing, with numerous local and international players vying for market share. This competition brings challenges such as the need for differentiation through quality, speed, and innovative solutions. The industry also presents opportunities, particularly with the increasing demand for machine learning and artificial intelligence applications, which rely heavily on accurately labeled data. Companies must consider the need for skilled labor, as the demand for trained data annotators is rising. Environmental concerns, while less prominent in this tech-driven sector, should not be overlooked, especially regarding sustainable practices in operations and energy consumption. Furthermore, Singapore's strategic position in the Asia-Pacific region enhances its relevance in the global market, allowing companies to tap into broader opportunities. By understanding these factors, individuals can navigate the complexities of the data labeling industry effectively, ensuring a solid foundation for future endeavors.


Insights about the Data Labeling results above

Some interesting numbers and facts about your company results for Data Labeling

Country with most fitting companiesSingapore
Amount of fitting manufacturers48
Amount of suitable service providers45
Average amount of employees1-10
Oldest suiting company1991
Youngest suiting company2022

Frequently asked questions (FAQ) about Data Labeling Companies

Some interesting questions that has been asked about the results you have just received for Data Labeling

Based on our calculations related technologies to Data Labeling are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Data Labeling are Edge AI, betterdata, QoreNext

The most represented industries which are working in Data Labeling are IT, Software and Services, Marketing Services, Other, Consulting, Research

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Data Labeling results by various countries

Related categories of Data Labeling