Slizvon Solutions provides end-to-end data annotation services tailored for machine learning and artificial intelligence projects.

• Our team specializes in labeling and categorizing datasets such as text, audio, images, and video, ensuring high-quality training data for AI/ML model development.

• We use industry-leading tools custom interfaces designed to meet client-specific requirements. Our annotators undergo rigorous training and deliver highly accurate datasets for sectors such as autonomous vehicles, healthcare, e-commerce, and finance.

• We offer bounding box, polygon, semantic segmentation, named entity recognition, and more, based on project demands.

• With a 3-step QA process involving initial annotation, peer review, and final audit, we ensure over 99% accuracy.

• Our typical delivery timeline ranges from 24 to 72 hours, depending on the project size, and we accommodate both small and large-scale data requirements.