When the right class depends on a clinician, an imagery analyst or a quality engineer, a generalist produces labels that look finished and are wrong. Kili puts your specialists on the assets only they can call, checks their work while it happens, and keeps the record.
A generalist's guess on a hard case becomes a wrong label, and a specialist's hour on an easy one is wasted. Send each asset to the person qualified to call it, serve the ones that matter first, and let a model draft the outline, so expert time goes on the decision.
A wrong label a reviewer spots should go straight back to the person who made it, not into a spreadsheet for later. Reviewers check the share of each batch you choose, flag the exact box or entity that is wrong, and the asset returns to its labeler, first in the queue, with the reason attached.
When a client or regulator questions your ground truth, a file of final labels can't show how it was made. Kili keeps every version of every label: the model's pre-annotation, the labeler's call, each correction and the reviewer's sign-off, each with a name and a date, so every label traces back to who decided it.
Patient notes, defence imagery and plant footage often come with rules about which country or network they can sit in. Use Kili's cloud, keep your files in your own cloud storage while you do, or run Kili on your own Kubernetes with no internet needed after installation.
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In a claims file, telling the loss date from the policy date, or a medical report from an invoice, takes someone who handles claims every day. Specialists box each field on the scanned PDF and Kili reads the text in, then they correct it, link each value to its field and classify the document type.
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Crop stress or standing water can be hard to see in true colour and obvious in near-infrared. Imagery analysts label multispectral GeoTIFFs with the bands they need composited on screen, draw boxes, polygons, points or masks on the map, and the labels export as GeoJSON with their coordinates, ready for your GIS.
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A surgeon or a process engineer cannot draw the same instrument on ten thousand frames, and skipped frames leave gaps in what the model learns. Experts set key frames where something changes, Kili fills in the boxes and points between them and tracks boxes through the rest, and reviewers correct the frames where tracking drifted.
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Documents, satellite imagery and video are where many teams start, not the limit. Text, images and audio run in the same platform, and so does the work that comes after labeling: evaluating the model and writing its post-training data. Each new use case starts as a new project, with the same roles and deployment.
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Kili Technology is a complete data suite that supports all data types and handles specialized formats for domain-specific requirements.
Customer stories from the programs that put this to work — with the numbers behind them.
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