𝗘𝗚𝗬-𝗜 𝗗𝗮𝘁𝗮 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 delivers high-quality medical and non-medical annotation services for AI model training, supported by multi-layer QC, domain expertise, and scalable workflows built for accuracy and consistency.

📌 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻

Annotation for 𝗖𝗧, 𝗠𝗥𝗜, 𝗖𝗕𝗖𝗧, 𝗫-𝗿𝗮𝘆, 𝗨𝗹𝘁𝗿𝗮𝘀𝗼𝘂𝗻𝗱, 𝗣𝗮𝘁𝗵𝗼𝗹𝗼𝗴𝘆, 𝗦𝘂𝗿𝗴𝗶𝗰𝗮𝗹 𝗱𝗮𝘁𝗮

2D/3D segmentation, organ labeling, vessel tracing, lesion detection

Anatomical landmarks, measurements, and clinical review pipelines

Support for diagnostic, surgical, and predictive AI systems

📌 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗮𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻

𝗥𝗲𝘁𝗮𝗶𝗹: Product/shelf detection, OCR, barcode 

𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: Crop & disease segmentation, field mapping

𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 / 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀: Object tracking, LiDAR, depth

𝗔𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲: Lane detection, traffic scenes, pedestrian/vehicle tracking

𝗖𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 / 𝗦𝗺𝗮𝗿𝘁 𝗖𝗶𝘁𝗶𝗲𝘀: PPE detection, site monitoring, hazard events

𝗠𝗮𝗻𝘂𝗳𝗮𝗰𝘁𝘂𝗿𝗶𝗻𝗴: Defect detection, quality-control annotation

𝗚𝗲𝗼𝘀𝗽𝗮𝘁𝗶𝗮𝗹: Roads, buildings, land use, change detection

📌 𝗔𝗻𝗻𝗼𝘁𝗮𝘁𝗶𝗼𝗻 𝗦𝗸𝗶𝗹𝗹𝘀

Bounding boxes 

Polygons 

Semantic & instance segmentation

Polyline & keypoints (lanes, skeletons, landmarks)

Video tracking & temporal labeling

3D segmentation (organs, vessels, bones)

LiDAR & point-cloud labeling

OCR & transcription for documents and receipts

📌 𝗟𝗟𝗠 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴, 𝗣𝗿𝗼𝗺𝗽𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗡𝗟𝗣

Arabic & English datasets

Instruction tuning, dialogue annotation, NER, sentiment, intent, safety evaluation

📌 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲

Tools: 3D Slicer, ITK-SNAP, CVAT, Labelbox, V7, Supervisely, Encord, Roboflow, Label Studio, Dataloop, RedBrick AI


📌 𝗪𝗵𝘆 𝗘𝗚𝗬-𝗜?

Multi-layer QC from annotator to domain expert

Scalable teams for small pilots or enterprise datasets

Secure pipelines, NDA compliance, transparent reporting

Free pilots

EGY-I Data Annotation

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Teams

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EGY-I Data Annotation

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Teams

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