Full-spectrum annotation for speech, image, video, text, and multimodal LLMs. AI pre-annotation, a multimodal foundation, and human-machine collaboration form a high-quality production loop that makes large-scale data production fast and accurate.
PDF text annotation covering entity tagging, entity relation tagging, and intent understanding — delivering structured corpora for NLP models.
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ASR data annotation covering transcription, entities, emotion, and speaker diarisation, with built-in multi-pass QA and performance tracking. Our annotators are trained in phonetics and handle accents, dialects, and noisy environments accurately, keeping transcription accuracy above 99%.
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Support for common 2D keypoint, line, and box annotation, plus fine-grained labelling, pseudo-3D boxes, and OCR — covering detection, segmentation, and recognition needs.
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Mark anomalous behaviour events in video and tag their attributes, with tracking annotation included — temporal data for behaviour understanding and video generation.
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Built for large model training and industry agents, covering understanding, alignment, and evaluation annotation across images, audio, video, text, and structured data.
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Core tasks such as multi-turn LLM dialogue annotation and answer quality evaluation, supporting model alignment and iterative improvement.
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PDF text annotation covering entity tagging, entity relation tagging, and intent understanding — delivering structured corpora for NLP models.
50,000+ annotation specialists
Private deployment and data protection
In-house annotation tools with algorithmic assistance
Dozens of countries and 190+ languages
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