Xyntriq provides high-quality AI training datasets and data annotation services designed to help companies build reliable machine learning and computer vision systems.

We support startups, AI research teams, and enterprises by preparing structured datasets that improve model performance, training accuracy, and scalability.

Our data annotation capabilities include:

• Image annotation • Video annotation • Text annotation • Audio annotation • Dataset labeling and dataset preparation • Object detection and bounding boxes • Semantic segmentation and polygon annotation • Keypoint annotation and pose estimation • OCR and document annotation • ANPR (Automatic Number Plate Recognition) datasets • Facial recognition datasets • Medical imaging annotation for healthcare AI • Human-in-the-loop data labeling pipelines • Quality assurance and dataset validation

Tools & Platforms

Our team works with modern annotation and machine learning tools including:

• CVAT • Label Studio • Supervisely • Labelbox • Roboflow • V7 Darwin

For AI workflow integration we also use:

• Python • OpenCV • PyTorch • TensorFlow • Jupyter Notebook

Industries We Serve

We provide AI training data solutions for multiple industries, including

• Healthcare & Medical Imaging • Autonomous Vehicles • Smart Cities • Transportation & Logistics • Retail & E-commerce • Agriculture & Farming • Security & Surveillance • Manufacturing • Finance & Banking • Education & EdTech • Real Estate

Why work with Xyntriq?

• High-quality human-grade annotation • Scalable data labeling pipelines • Consistent quality control and dataset validation • Support for complex AI training datasets

If you're building AI products and need reliable training data, Xyntriq can help you create structured datasets ready for machine learning and AI model development.