Human-labelled training data with a documented quality process — managed by a team that has spent a decade working with messy, large-scale content datasets.
Pick a modality, or combine several in one project with a shared labelling guideline.
Bounding boxes, polygons, segmentation masks, key points and classification — from retail shelves to industrial defect detection.
Classification, entity extraction, relation labelling, intent and sentiment — including domain-specific taxonomies.
Transcription, speaker diarisation, emotion and event tagging in Mandarin, Cantonese and major dialects.
Frame-level tracking, action recognition, scene segmentation and content moderation labels.
LiDAR cuboids, semantic segmentation and lane marking for autonomous driving and robotics.
Prompt-response ranking, safety review, preference comparison and red-team annotation for model tuning.
A pilot first, so quality is proven before volume.
We label a small sample, agree the guideline document and measure agreement before scaling. You approve the standard, not just the output.
Layered review: annotator self-check, peer review and a dedicated QA pass against sampled ground truth.
Structured delivery in your format of choice, with error analysis and re-work cycles included.
Share 200–500 items and your labelling rules. We will return a labelled pilot with an accuracy report so you can judge the work on evidence.
A panoramic, automated PR and marketing intelligence platform. Over a billion real-time records a day across news, social, forums, blogs and WeChat — so you see the conversation before it becomes a cr
Learn moreUnderstand what the internet is saying about your organisation — and act while it still matters. Continuous collection, sentiment scoring, early warning and analyst support.
Learn moreWhen the standard API does not cover it, we build it. Tailored collection, rankings, sentiment datasets and platform services — scoped one to one, delivered to your format.
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