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Data Tagging: The process of converting raw data into a format that is easy to analyze and visualize

Foiwe ensures proper and smooth completion and distribution of data sets. We also provide quality assurance for data analysis. Our tagging process ensures that the quality parameters have been met and that the output is reliable.

Benefits of Data Tagging

Data tagging reduces the time and money spent on secondary data analysis that helps in decision-making in organizations

Precision Data Tracking

All tags are applied manually and are recorded in the system to enable easier data cleaning. Accurate and relevant data tags enhance model precision, reducing errors in AI-driven tasks and applications.

Intuitive Tagging

The nature of the data and its purpose are identified before careful application of tags. AI can use tags to personalize content recommendations, tailoring user experiences based on preferences and behavior.

Reliable Processing Methods

Error-free and robust solutions are used in every step to ensure accuracy. Foiwe's process oriented Data tagging services is driven by strict data quality control ensuring the accuracy and consistency of labelled datasets.

Our Key Metrics

We are passionate about our work. Our analysts stay ahead of the curve to provide engaging and stable experience.

0 M
Items Moderated each day
40 K
Profiles Reviewed peach day
90 %
Average Accuracy
0 M
Live Streams each day
5 Y
of Experience
90 %

Tailor-made and scalable solution for all content moderation needs

Dedicated Account Manager available 24x7 as a Single Point of Contact

With your dedicated account manager, as single point of contact and accessible round the clock over phone or messenger, you get a personalized support and swift communication literally in real time. We aim at seamless problem-solving, enhancing overall satisfaction on our service delivery and partnership effectiveness through continuous communication across multiple channels.

Tailor-Made Solution Based on Your Specific Project Needs

Content moderation for an app demands a tailor-made solution aligned with your project's unique requirements. Our customized offerings ensure that the moderation process effectively aligns with your content types, user demographics and compliance mandates. We are your extended team working together towards user safety, platform integrity and user experience.

Real-Time Implementation of Updates and Guideline Changes

We understand that real-time implementation of moderation guideline changes in an app is crucial for maintaining user safety and adherence to evolving content standards. Swift updates prevent harmful or inappropriate content from slipping through the cracks, ensuring a responsive and adaptable moderation system that protects both users and the app's reputation.

Applications and Capabilities

Data Tagging also helps in machine learning and in particular it is useful for large machine learning tasks which in turn helps in providing better quality solutions to problems faced by users.


  • Training AI
  • Social Platforms
  • Audio and Video Applications
  • Ecommerce platforms


  • Capable to handle large data volumes
  • Multilingual team
  • Experienced Staffs for greater output
  • Data Tagging functions as a clear indexing solution in machine learning.

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Data Tagging as a service

Need for an accurate Data Tagging

Data tagging is a big part of the data preparation especially for machine learning applications. Data tagging is the process of converting raw data into a format that is easy to analyze and visualize. Data tagging is used to reduce the time needed for data analysis by reducing unneeded fields from data sets and by making the analysis more robust. Data tagging can also greatly speed up data preparation and manipulation which again are useful to improve machine learning performance.  

Foiwe ensures proper and smooth completion and distribution of data sets. We also provide quality assurance for data analysis. Our tagging process ensures that the quality parameters have been met and that the output is reliable.

Related Services

Service Offerings Related to Data Tagging and Catalogue Management

Case Studies and Reports

Image moderation is the process of assessing, filtering and managing images , to ensure they adhere to specific guidelines, policies or standards. Image Moderation helps to remove the content that is offensive, illegal or against the platform’s terms of service.

1.Nudity Detection: One of the most common types of image moderation is the detection of nudity or explicit content. Moderator check images for explicit body parts and flag or remove them accordingly to the online platform guideline.
2.Violence and Gore Detection: This type of image moderation, moderator identifies violent or gory images, preventing them from being shared on platforms that aim to maintain a non-violent environment.
3.Hate Speech and Offensive Content: Image moderation can identify hate speech, offensive symbols and content that promotes discrimination, ensuring it doesn’t gain traction online.
4.Copyright and Trademark Violations: In image moderation, moderator check for copyright and trademark violations, protecting intellectual property rights.
5.Drugs and Substance Abuse: Images containing drug-related content can be flagged and removed to maintain a safe and responsible online space.
6.Spam and Scams: Image moderation can help detect and filter out images associated with spam and scams. Also using image moderation moderator protect users from online fraudulent activities.
7.Brand Safety: It ensures that brands’ advertisements don’t appear next to inappropriate or controversial content, safeguarding their reputation.

1.User Safety: Image moderation protects users, especially children and vulnerable individuals, from exposure to harmful and explicit content.
2.Compliance with Regulations: Many countries have regulations in place that require online platforms to moderate and filter content. In image moderation also help to follow rule of that country.
3.Brand Reputation: For businesses and advertisers, image moderation is crucial to protect their brand reputation by ensuring their ads don’t appear alongside offensive or inappropriate content.
4.Community Guidelines: It helps maintain and enforce community guidelines on social media platforms and websites, fostering a respectful online environment.
5.Content Quality: Image Moderation ensures that platforms maintain a high standard of content quality, making them more attractive to users and advertisers.

While image moderation is essential, it is not without challenges. Some of these challenges include:
False Positives and Negatives: Overly strict algorithms can result in false positives, flagging innocent content, while overly lenient ones may miss offensive material.
Evolving Content: As content creators find new ways to evade moderation, systems must continually adapt to emerging trends and techniques.
Scalability: For platforms with massive user bases, moderating images at scale can be a significant technical challenge.

Here are some key aspects of moderation in media:
1.Content Screening: Moderators review and assess user-generated content, such as text, images, videos and comments, to determine whether it violates platform-specific rules or standards. This may include identifying and removing content that is offensive, illegal, spammy or otherwise inappropriate.
2.User Behavior Monitoring: Moderation extends beyond just content and may involve monitoring user behavior for violations. This can include identifying and taking action against users who engage in harassment, hate speech or other disruptive behaviors.
3.Enforcement of Policies: Moderators enforce community guidelines, terms of service, and content policies set by the media platform. They may issue warnings, temporary suspensions, or permanent bans to users who repeatedly violate these policies.
4.Filtering and Blocking: Automated tools and algorithms, in conjunction with human moderators, may be used to filter out or block certain keywords, phrases or types of content that are commonly associated with violations.
5.Reporting Mechanisms: Media platforms often provide users with the ability to report content or users that they find objectionable. Moderators review these reports and take appropriate actions.
6.Legal Compliance: In some cases, media moderation is necessary to ensure that content adheres to legal requirements, such as copyright laws, defamation laws or regulations related to hate speech and discrimination.
7.Protecting Minors: On platforms frequented by minors, moderation may be particularly focused on preventing the dissemination of harmful or age-inappropriate content.
8.User Engagement: Moderation can also play a role in fostering positive user engagement and community building by encouraging respectful and constructive interactions.
9.Crisis Management: In the event of a crisis or emergency, moderators may be responsible for disseminating accurate information, preventing the spread of misinformation and managing communication channels effectively.
10.Content Curation: Some media platforms employ content curators or editors who select and feature content to ensure it aligns with the platform’s objectives or editorial standards.


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