High-quality training data annotation at scale — images, video, text, and 3D point clouds — so your machine learning models learn from the best possible data.
We deliver precise, consistent annotation across every data modality — bounding boxes, polygons, semantic masks, keypoints, transcriptions, and entity labels — with built-in QA to hit the accuracy your model training demands.
From simple classification to complex polygon segmentation, our trained annotators follow rigorous labeling guidelines with full version-controlled delivery — ready to plug into your ML pipeline.
Annotation expertise across the domains where precision matters most.
LiDAR point cloud cuboids, camera image bounding boxes, lane segmentation, and pedestrian keypoints for self-driving datasets at any scale.
Radiology and pathology annotation — tumor segmentation, organ delineation, and lesion marking for diagnostic AI models requiring clinical-grade precision.
Product classification, attribute tagging, and visual search annotation to power recommendation engines and visual commerce experiences.
Activity recognition, intrusion detection labeling, and facial landmark annotation for intelligent video analytics platforms.
RLHF preference ranking, response quality rating, and instruction-following evaluation datasets to fine-tune and align language models.
Satellite and drone imagery annotation for crop health detection, land use classification, and environmental monitoring models.
Tell us your data type, volume, and deadline — we'll design a labeling pipeline that delivers on accuracy and speed.
Start Your Annotation Project