Tagnetic AI is a team of data specialists and AI experts committed to delivering high-quality annotation solutions. We combine human intelligence with smart automation to power accurate, efficient, and scalable training data for machine learning and AI applications.
At Tagnetic AI, our values are rooted in quality, efficiency, and innovation. We combine human expertise with smart automation to deliver accurate, scalable data solutions. Transparency, trust, and continuous improvement guide every step of our process, ensuring we empower our clients with reliable data that drives real-world AI performance.
Efficiently annotate objects by drawing rectangular boxes around them. Widely used for object detection tasks in images and videos, enabling models to localize and classify items such as vehicles, pedestrians, animals, or retail products. Common applications include autonomous driving, surveillance, agriculture, and e-commerce.
Capture complex or irregular shapes with precision by outlining objects using multiple vertices. Best suited for overlapping or detailed objects in domains where pixel-level accuracy is essential, such as autonomous driving (road signs, lane markings), agriculture (crop analysis), and medical imaging (tumor or organ boundaries).
Assign a class label to every pixel in an image, giving AI systems a granular understanding of scenes. Ideal for detailed applications such as road scene analysis for autonomous vehicles, smart city urban planning, environmental monitoring, and healthcare diagnostics.
Combine semantic and instance segmentation to provide both category-level and object-level annotations at the pixel level. Useful for advanced perception tasks in crowd analysis, robotics navigation, AR/VR environments, and industrial automation, where both object type and individuality must be distinguished.
Annotate 3D point clouds collected by LiDAR sensors to train models in spatial understanding. Supports bounding boxes, segmentation, and custom labeling of objects within 3D environments. Applications include autonomous vehicles (object detection, lane analysis), drones (terrain mapping), robotics, and smart infrastructure.
Convert spoken words into structured text or align audio with textual data for natural language processing. Commonly applied in voice assistants, subtitling, call center analytics, and speech recognition systems, helping AI models better interpret and respond to human language.
Tagnetic AI offers an all-in-one solution for traditional AI developers, combining top-tier data annotation tools, workflow automation, and expert talent to deliver the industry’s highest quality machine learning data.
Our expert solution architects and data preparation specialists design efficient workflows that streamline data pipelines. We ensure delivery of high-quality, production-ready training datasets that accelerate the development of machine learning models.
TagneticAI provides advanced labeling platforms and process automation to reduce turnaround times and eliminate manual bottlenecks. Our automation framework simplifies the creation of large-scale, high-quality datasets for AI and machine learning.
We deploy specialized techniques and quality control processes to identify, annotate, and resolve rare or complex edge cases in datasets. This improves model resilience, accuracy, and reliability across real-world scenarios.
Our testing and simulation workflows validate model performance with high-quality, accurately labeled data. By simulating real-world conditions, we help optimize models before deployment, reducing errors and improving scalability.
