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INFOLKS
Mannarkkad, India
D
501-1000 Employees
2016
Key takeaway
INFOLKS is a leading data labeling company in India, emphasizing the importance of high-quality data labeling services. With over 7 years of experience and a skilled workforce, they ensure timely and customizable solutions for various data labeling needs, making them a key player in the AI/ML sector.
Reference
Core business
Data Labeling Service Provider For AI/ML | INFOLKS
LabelOps
Mannarkkad, India
D
51-100 Employees
2020
Key takeaway
LabelOps is recognized as the leading data labeling company globally, offering cost-effective data annotation services and extensive experience in handling large datasets. They provide 24/7 customer support and ensure premium quality through a dedicated project team and expert annotators, making them well-equipped to prepare high-quality training data for AI models.
Reference
Service
Image Annotation Services and Data labeling for AI Models | LabelOps
LabelOps process quality data for training computer vision & machine learning models through fully managed image annotation services .
Shighi Technologies
Madurai, India
D
1-10 Employees
2006
Key takeaway
Shighi Technologies specializes in Annotation Services, including Data Labeling and Image Labeling, making it a key player in this field. With over 15 years of experience, the company ensures high-quality support and expertise for global clients.
Reference
Service
Annotation Services | Data Labeling Service | Image Labeling Service
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Macgence
Noida, India
D
11-50 Employees
2022
Key takeaway
Macgence specializes in advanced visual interpretation and NLP, revolutionizing data processing and enabling machines to understand human language. With over 5 years of experience, Macgence can design custom data collection programs to meet diverse data labeling needs.
Reference
Service
Data Annotation
Data annotation creates an outstanding base for any project. It is the heart of AI and ML algorithms, which affects algorithmic performance. To learn and recognize input data, annotation and enhancement are essential for AI and ML models. The classification and labeling of data for AI applications are known as data annotation. Therefore, training data needs to be appropriately annotated and categorized for any use case. Enterprises may develop and enhance AI models with superior human-powered data annotation. As a result, a better customer experience solution is provided, complete with chatbots, computer vision, speech recognition, product recommendations, and appropriate search engine results.
Annotation Support
Chennai, India
D
251-500 Employees
-
Key takeaway
Infosearch BPO specializes in data labeling, offering over 15 types of annotation services, including high-quality image annotation and bounding box annotation, which are essential for training computer vision models. Their expertise in semantic segmentation and image masking further enhances the accuracy and effectiveness of data labeling for various applications.
Reference
Core business
Data Annotation Services & Labeling Outsourcing For Machine Learning
Biz-Tech Analytics
New Delhi, India
D
11-50 Employees
-
Key takeaway
Biz-Tech Analytics focuses on delivering highly accurate and cost-effective labeled data, offering a variety of annotation solutions for text, images, audio, and video. Their commitment to high-quality data services and ability to handle complex projects makes them a valuable partner for enhancing AI/ML applications.
Reference
Core business
Biz-Tech Analytics | Data Services
Biz-Tech Analytics provides high-quality image, text, audio, and video Annotation, Collection and Generation services, as well as other data-related services to clients across a wide range of industries.
ANOLYTICS
Noida, India
D
251-500 Employees
2016
Key takeaway
Anolytics specializes in providing high-quality data labeling services for AI training, particularly for computer vision systems. Their expertise in data annotation ensures timely and accurate training data delivery, with an impressive output accuracy exceeding 99.99%, making them a key player in the AI and machine learning landscape.
Reference
Core business
AI Data Annotation Outsourcing Services | Data Labeling Company
Anolytics is one of the best data annotation companies providing data labeling outsourcing services for machine learning and deep learning with highest accuracy.
LabelMe
New Delhi, India
D
501-1000 Employees
-
Key takeaway
LabelMe is a leading Indian company specializing in the production of various labeling products, including woven and PVC labels. Their commitment to high-quality and customizable labels, coupled with advanced printing technology, makes them a valuable resource for businesses in need of effective data labeling solutions.
Reference
Core business
About Us - LabelMe
Wisepl
Pattikkad, India
D
11-50 Employees
2020
Key takeaway
Wisepl offers a comprehensive range of data annotation services, including bounding boxes, semantic segmentation, and 3D point cloud annotation, catering to various industries such as healthcare and autonomous driving. With a focus on quality and security, Wisepl ensures that client data remains protected while providing accurate and scalable solutions for both short and long-term image annotation projects.
Reference
Core business
Wisepl - Data Labeling & Annotation for Machine Learning
Wisepl, data annotation company in malappuram-kerala providing machine learning and deep learning services to annotate text, image, video with Good accuracy .
AIW (AI Workspace)
Kolkata, India
D
1001-5000 Employees
-
Key takeaway
AIW is a specialized data labeling and annotation services company that offers highly accurate and timely labeled data, essential for training AI and ML models. With a focus on quality and security, they ensure that businesses receive tailored data solutions that meet stringent privacy standards.
Reference
Core business
Best renowned data annotation service provider in Dubai, New Jersey, Mumbai, Kolkata,USA
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Service
Data Annotation
Go to product
The Data Labeling industry in India is rapidly evolving, driven by the increasing demand for machine learning and artificial intelligence applications. When researching companies in this field, it’s crucial to consider the quality of labeled data, as accuracy and consistency significantly impact the performance of AI models. Regulatory compliance with data protection laws, such as the Information Technology Act and potential upcoming privacy regulations, is essential to ensure ethical handling of data. Challenges include managing large volumes of data and maintaining workforce training to ensure high-quality labeling. However, opportunities abound, as India's vast talent pool offers cost-effective labor for data annotation tasks, making it an attractive destination for global companies. The competitive landscape features both established firms and startups, each vying to offer innovative solutions and improve operational efficiencies. Additionally, environmental concerns related to data centers and energy consumption are increasingly relevant, prompting companies to adopt sustainable practices. Understanding the global market relevance is also key, as businesses in India often work with international clients, requiring adherence to global standards and best practices in data labeling. Overall, a comprehensive approach that includes quality assurance, regulatory awareness, and an understanding of market dynamics is vital for success in the Data Labeling industry in India.
Some interesting numbers and facts about your company results for Data Labeling
| Country with most fitting companies | India |
| Amount of fitting manufacturers | 558 |
| Amount of suitable service providers | 715 |
| Average amount of employees | 251-500 |
| Oldest suiting company | 2006 |
| Youngest suiting company | 2022 |
Some interesting questions that has been asked about the results you have just received for Data Labeling
What are related technologies to Data Labeling?
Based on our calculations related technologies to Data Labeling are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Data Labeling?
Start-Ups who are working in Data Labeling are Macgence
Which industries are mostly working on Data Labeling?
The most represented industries which are working in Data Labeling are IT, Software and Services, Marketing Services, Other, Research, Education
How does ensun find these Data Labeling Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
