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TagX Data Products: APIs & Datasets
TagX Pricing & Cost
We work on various pricing models depending on the client’s application. Contact us to know more.
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About TagX
TagX in a Nutshell
Are you facing a data crunch to fill up your Training data pipeline? or are you struggling to find the datasets for your project?
TagX is here to address all your training data needs. We collect and annotate datasets for Artificial Intelligence companies. We are a strong dynamic workforce enabling rapid training data creation.
Contact us today at sales@tagxdata.com today to learn more.
Country Coverage
Data Offering
We have collected and curated datasets for various applications in Data Science, Artificial Intelligence and Machine Learning.
When appropriate datasets are not available with us TagX has a highly cognitive team of experts who can collect data as per requirements.
Visit us at www.tagxdata.com for more info.
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Use Cases
TagX offers a comprehensive suite of data solutions, including data annotation, data collection, and web scraping, designed to cater to a wide range of industries. Here are some key use cases where TagX’s data solutions can provide immense value:
E-commerce Optimisation:
Data Collection: TagX can help e-commerce companies collect and aggregate product data from various sources, ensuring accurate and up-to-date product listings.
Data Annotation: For image-based product catalogs, TagX’s annotation services can tag and classify product images, making search and recommendation algorithms more effective.
Financial Services:
Web Scraping: Collecting financial news, stock market data, and economic indicators from online sources to facilitate market analysis and trading strategies.
Data Annotation: Annotating financial documents and transactions to train machine learning models for fraud detection and risk assessment.
Autonomous Vehicles:
Data Annotation: Labeling and annotating sensor data (e.g., LiDAR, camera images) for autonomous driving systems to improve object detection and navigation algorithms.
Data Collection: Capturing real-world driving scenarios and environmental data for the development and testing of self-driving vehicles.
Retail and Customer Insights:
Web Scraping: Gathering competitor pricing data, customer reviews, and market trends to inform pricing strategies and product development.
Data Annotation: Annotating customer feedback and sentiment analysis for insights into product satisfaction and consumer preferences.
Natural Language Processing (NLP):
Data Annotation: Labeling text data for sentiment analysis, named entity recognition, chatbot training, and language translation applications.
Data Collection: Gathering textual data from websites, social media, and news sources for building NLP models.
Manufacturing and Quality Control:
Data Annotation: Tagging defects in product images and videos to enhance quality control processes and automate defect detection.
Data Collection: Collecting sensor data from production lines to monitor equipment performance and predict maintenance needs.
Government and Public Services:
Web Scraping: Aggregating data related to public health, safety, and economic indicators to support policymaking and public services.
Data Annotation: Labeling geospatial data for disaster response, urban planning, and infrastructure development.
Education and EdTech:
Data Annotation: Annotating educational content for personalized learning, recommendation systems, and assessment tools.
Data Collection: Collecting educational materials, online courses, and research data to enhance educational resources and platforms.
Entertainment and Media:
Data Collection: Scraping data related to viewer preferences, trending content, and audience engagement for media companies and streaming platforms.
Related Searches
Certifications & Associations
Data Sources & Collection
Multiple data sources worldwide and proprietary technologies to collect data from the internet and other sources.
We are entirely GDPR compliant and ensure we do not violate any rules while collecting datasets.
Key Differentiators
We are a mid size company of 150 people, having in-house data collection, annotation, and curation capabilities.
We have developed our own proprietary algorithm to create synthetic data assets for computer vision, NLP, Data Analytics and much more.
Data Privacy
TagX has created an access control data protection policy to make sure users
can access only the assets they need to do their jobs — in other words, to
enforce a least-privilege model. Typically, this policy is implemented with a
combination of technical controls and training to educate users about their
responsibilities for the protection of data.
This data security policy applies all customer data, personal data, or other company data defined as sensitive by the TagX’s data classification policy. Therefore, it applies to every server, database, and IT system that handles such data, including any device that is regularly used for email, web access, or other work-related tasks. Every user interacting with TagX IT services is also subject to this policy.
To request the complete policy please contact us.
Integrations
What are you looking for?
Frequently asked questions about TagX
What does TagX do?
TagX is a Data aggregator working with a wide range of industries. We also help companies in annotating and curate their existing datasets. Contact us today for Data requirements.
How much does TagX cost?
TagX’s APIs and datasets range in cost from $1 / purchase to $50,000 / purchase. TagX offers free samples for individual data requirements. Get talking to a member of the TagX team to receive custom pricing options, information about data subscription fees, and quotes for TagX’s data offering tailored to your use case.
What kind of data does TagX have?
Web Activity Data, Traffic Data, Deep Learning (DL) Data, Web Browsing Data, and 67 others
What data does TagX offer?
We have collected and curated datasets for various applications in Data Science, Artificial Intelligence and Machine Learning. When appropriate datasets are not available with us TagX has a highly cognitive team of experts who can collect data as per requirements. Visit us at www.tagxdata.com for more info.
How does TagX collect data?
Multiple data sources worldwide and proprietary technologies to collect data from the internet and other sources. We are entirely GDPR compliant and ensure we do not violate any rules while collecting datasets.
What’s TagX’s data privacy policy?
TagX has created an access control data protection policy to make sure users can access only the assets they need to do their jobs — in other words, to enforce a least-privilege model. Typically, this policy is implemented with a combination of technical controls and training to educate users about their responsibilities for the protection of data. This data security policy applies all customer data, personal data, or other company data defined as sensitive by the TagX’s data classification policy. Therefore, it applies to every server, database, and IT system that handles such data, including any device that is regularly used for email, web access, or other work-related tasks. Every user interacting with TagX IT services is also subject to this policy. To request the complete policy please contact us.
What are the best use cases for TagX’s data?
TagX offers a comprehensive suite of data solutions, including data annotation, data collection, and web scraping, designed to cater to a wide range of industries. Here are some key use cases where TagX’s data solutions can provide immense value: E-commerce Optimisation: Data Collection: TagX can help e-commerce companies collect and aggregate product data from various sources, ensuring accurate and up-to-date product listings. Data Annotation: For image-based product catalogs, TagX’s annotation services can tag and classify product images, making search and recommendation algorithms more effective. Financial Services: Web Scraping: Collecting financial news, stock market data, and economic indicators from online sources to facilitate market analysis and trading strategies. Data Annotation: Annotating financial documents and transactions to train machine learning models for fraud detection and risk assessment. Autonomous Vehicles: Data Annotation: Labeling and annotating sensor data (e.g., LiDAR, camera images) for autonomous driving systems to improve object detection and navigation algorithms. Data Collection: Capturing real-world driving scenarios and environmental data for the development and testing of self-driving vehicles. Retail and Customer Insights: Web Scraping: Gathering competitor pricing data, customer reviews, and market trends to inform pricing strategies and product development. Data Annotation: Annotating customer feedback and sentiment analysis for insights into product satisfaction and consumer preferences. Natural Language Processing (NLP): Data Annotation: Labeling text data for sentiment analysis, named entity recognition, chatbot training, and language translation applications. Data Collection: Gathering textual data from websites, social media, and news sources for building NLP models. Manufacturing and Quality Control: Data Annotation: Tagging defects in product images and videos to enhance quality control processes and automate defect detection. Data Collection: Collecting sensor data from production lines to monitor equipment performance and predict maintenance needs. Government and Public Services: Web Scraping: Aggregating data related to public health, safety, and economic indicators to support policymaking and public services. Data Annotation: Labeling geospatial data for disaster response, urban planning, and infrastructure development. Education and EdTech: Data Annotation: Annotating educational content for personalized learning, recommendation systems, and assessment tools. Data Collection: Collecting educational materials, online courses, and research data to enhance educational resources and platforms. Entertainment and Media: Data Collection: Scraping data related to viewer preferences, trending content, and audience engagement for media companies and streaming platforms.
What platforms is TagX integrated with?
AWS Data Exchange