Create mindblowing Natural Language processors with our   Data Solutions

Conversational AI uses Artificial Intelligence and Natural Language Processing (NLP) to enable computers to understand and respond to human speech or text. It is designed to simulate human conversation and provide a more natural and intuitive way for people to interact with machines. To train conversational AI models, large amounts of data annotation are required. TagX provides various types of NLP annotation that are used to train conversational AI.

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Data Solutions for Conversational AI

Intent annotation

Identifying and classifying the intent behind a user's input, such as making a reservation, asking for information, or providing feedback.

Entity annotation

Identifying and extracting specific information, such as dates, times, locations, and names, from user input.

Dialogue Annotation

Identifying and labeling the turns of dialogue, including the context and intent of each turn.

Sentiment Annotation

Identifying and labeling the sentiment of user input, whether it is positive, negative, or neutral.

Industries we are  Impacting


Conversational AI can help automate customer service queries, order tracking, and provide personalized recommendations to customers. Our data annotation can help train chatbots and virtual assistants to understand and respond to customer inquiries accurately and efficiently.

Banking and Finance

Chatbots can assist with customer service queries, provide personalized financial advice, and help customers manage their accounts more efficiently. We provide collection and annotation to develop AI models that accurately interpret financial language, understand customer intent, and provide relevant responses.


We help train Chatbots to understand patient inquiries and provide relevant responses through voice or text inputs, improving the efficiency of patient care. Annotated data is also used for voice recognition systems to accurately transcribe medical dictations, enhancing the speed and accuracy of medical documentation.


NLP is used to improve operational efficiency by automating routine tasks and providing real-time production updates. TagX annotations help develop AI models for quality control, predictive maintenance, and supply chain management.

Real Estate

Our Data collection and annotation services are used to apply AI in various applications of real estate which include virtual property tours, answering common inquiries from potential buyers, and helping real estate agents manage leads more efficiently.

Types of Annotation

With Tagx, your AI applications will recognize and identify objects at unmatched speed, improving your models predictions and confidence levels. We understand that different AI use cases require different types of data annotation to achieve optimal performance. TagX offers a wide range of annotation services for image, text, audio, and video data, as well as 3D point cloud and LiDAR annotation. We pride ourselves on delivering high-quality annotations with precision and accuracy to ensure that your AI models can perform at their best. Whatever your use case may be, you can count on us to provide the right type of annotation to meet your specific needs.

Bounding Box Annotation
Polygon Annotation
Polyline Annotation
3D Cuboids
Semantic Segmentation
Point Annotation
Video Annotation

Ready to unlock your AI potential?

Book a free consultation call today with one our Experts and explore endless possibilities.