Precise bounding boxes, polygons, and semantic segmentation for computer vision
Named entity recognition, sentiment analysis, and text categorization at scale
High-accuracy speech-to-text with speaker identification and timestamps
Multi-layer QA process ensuring 99%+ accuracy across all annotations
Domain-specific experts trained for your specific use case
Scale from thousands to millions of annotations with flexible timelines
Bounding boxes, polygons, keypoints, and semantic segmentation for training vision models.
Text annotation, entity extraction, intent classification, and sentiment analysis.
Transcription, speaker diarization, and acoustic event detection for speech AI.
LiDAR and 3D sensor data labeling for autonomous vehicles and robotics.
Healthcare-grade annotation for medical imaging, clinical notes, and patient records.
Develop specialized labeling schemas tailored to your unique AI requirements.
Professional data annotation with multi-layer quality assurance
Securely upload your data through our encrypted platform
Define annotation guidelines and quality requirements
Domain experts annotate your data with precision
Multi-layer QA process ensures accuracy standards
Improve AI model performance with high-quality training data
Accelerate AI development with rapid annotation turnaround
Reduce annotation costs with optimized workflows
Handle projects from thousands to millions of data points