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Data Annotation and Labeling Services to Power AI

OntoGPT offers precise data annotation and labeling, transforming raw data into actionable insights for AI. Our expert teams ensure high-quality datasets, enabling accurate, efficient, and scalable AI model training.

Speed & Security

Flexibility & Scalability

Better Collaboration

With the Right Collaboration Great Things Can Happen

At OntoGPT, we provide accurate, secure, and efficient data labeling and annotation services with human expertise at every step. Leveraging our extensive experience in AI, machine learning, and data processing, we deliver seamless annotation outsourcing solutions. Our core strength lies in offering industry-specific workforce solutions for AI data annotation and labeling, ensuring your models are trained with high-quality, reliable datasets.

About us

At OntoGPT, we specialize in delivering comprehensive data solutions that drive intelligence and automation for your business. Our services encompass meticulous data annotation across text, image, audio, and video formats, ensuring your AI and ML models are trained with high-quality, accurately labeled datasets. By transforming raw data into actionable insights, we enable the development of robust AI applications tailored to your specific needs. Partner with OntoGPT to harness the power of precise data annotation and elevate your AI initiatives to new heights.

With a dedicated team of experts, Ontogpt is your trusted partner for tailored data solutions. We believe in harnessing the power of AI to transform businesses and drive innovation. Let us support your journey towards data excellence.

Services

Our Key Service Offerings

At OntoGPT, we combine accuracy, security, and efficiency to deliver top-tier data annotation services. Our expert teams and industry-specific solutions ensure your AI models are trained with reliable, high-quality datasets.

Image Annotation

Human-annotated data ensures higher accuracy and quality. Our experts provide 2D bounding boxes, polygons, segmentation, labeling, and landmark annotations for machine learning.

​Text Annotation

Delegate large file processing to our experts for classification, tagging, named-entity recognition, relationship extraction, sentiment analysis, and text categorization.

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Speech Annotation

Our voice recognition services enable speech-to-text, device control, and information retrieval, keeping your business ahead in this growing technology trend.

Video Annotation

Our experts use top annotation tools for precise video labeling, ensuring accurate object tracking by converting frames and reconstructing them seamlessly.

Our Key Features

Discover the innovative features of OntoGPT's advanced data annotation and AI solutions.

Secure Solutions

We prioritize data security, implementing robust measures to protect sensitive information and maintain compliance with industry standards.

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High Quality & Reliability

We can handle large volumes of sensitive data, we ensure accuracy, security, and efficiency in every project we undertake.

Scalability & Flexibility

We provide on-demand data annotation and labeling services, ensuring seamless scalability to meet evolving project needs with precision, efficiency, and high quality results.

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In-house & Trained

Our professional, dedicated, and highly trained in-house teams ensure accuracy, consistency, and efficiency, delivering top-quality data annotation and labeling services tailored to your needs.

Industries we serve

From semantic segmentation and keypoint annotation to sentiment analysis and natural language processing, our expert teams leverage advanced techniques to transform raw data into actionable insights. Whether you're in healthcare, finance, retail, or any other industry, OntoGPT provides tailored solutions to meet your unique needs.

Partner with us to unlock the full potential of your AI projects with reliable, secure, and efficient data annotation services. 

Why is Data Annotation Important?

High-quality data is essential for accurate AI performance. Task design at both the data collection and annotation stages is crucial to ensure your models learn efficiently and deliver reliable results across diverse tasks and domains.

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