WE HELP YOU CREATE

High-quality

medical datasets

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Partnering with leading institutions & healthcare organizations

to advance the future of healthcare AI through expert data labeling services and custom software solutions.

Stanford University
Chulalongkorn University
Stanford Medical School
Mahidol University Faculty of Medicine Siriraj Hospital
John Hopkins University
Mount Sinai Hospital
Thammasat University
Stanford University
Chulalongkorn University
Stanford Medical School
Mahidol University Faculty of Medicine Siriraj Hospital
John Hopkins University
Mount Sinai Hospital
Thammasat University
USE CASES
Pathology

Pathology

Labeling histopathology slides to train AI in detecting cancerous cells, tissue anomalies, and rare diseases with pixel-level precision.

Radiology

Radiology

Annotating X-rays, CTs, and MRIs to support early detection of fractures, tumors, and lung conditions — streamlining radiologist workflows.

Surgery

Surgery

Frame-level annotation of surgical video to train AI in tool tracking, action recognition, and intraoperative decision-making support.

Microscopy

Microscopy

Tagging cellular structures and particle behaviors in microscopic images for drug discovery, pathology research, and nanotech applications.

Neuroscience

Neuroscience

Labeling neural imaging data from fMRI, EEG, and brain scans to enhance models for neurological disease detection and cognitive mapping.

More

More

From dermatology to ophthalmology, our labeling pipelines scale to any medical domain — unlocking data for smarter healthcare AI.