Training data for
medical AI,
labeled by clinicians

We turn medical imaging, EHR, biological, and drug-discovery data into accurate,
HIPAA-compliant datasets — annotated by 2,000+ medical professionals.

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Our labeling services

Annotation for AI, medtech, pharma & research teams
Medical imaging annotation across X-ray, CT, and MRI scans
Medical Imaging
  • Expert identification of anatomical structures.
  • Classification of abnormalities, including tumors and lesions.
  • Annotating images such as X-rays, CT scans, MRIs, and more.
Electronic Health Records (EHR)
  • Convert unstructured or raw clinical data into organized, searchable formats.
  • Label and categorize data with standardized codes.
  • Annotate clinical notes for entity recognition and sentiment analysis.
Electronic Health Records
Biological science data labeling for genomics and protein analysis
Biological Science
  • Genomic data annotation for variants, mutations, and variations.
  • Protein function classification in terms of structures, interactions.
  • Cellular mechanism labeling and annotating cellular processes.
Drug Discovery
  • Annotating chemical structures with physicochemical characteristics.
  • Characterizing protein-ligand interactions and affinities.
  • Annotating bioactivity and toxicity profiles of molecules with selectivity.
  • Labeling clinical trial data (e.g., adverse events, endpoint events).
Drug discovery data labeling for molecular and clinical trial data
Text entity recognition labeling example
MRI image labeling example
Tumor segmentation on DICOM imaging
Time-series waveform labeling example
Video segmentation and recognition labeling example

Harnessing the power of AI

The latest applications
Medical data labeling powering AI in healthcare

1. Detect nodules or abnormalities in lung CT scans to diagnose early signs of lung cancer with pre-trained CNN model like ResNet or VGG.
2. Segment brain tumors from CT scans to identify the affected regions with U-Net.
3. Automatically detect COVID-19 pneumonia from chest CT images with EfficientNet or InceptionV3.

1. Predict molecular properties such as solubility, toxicity, or binding affinity with a SMILES string

AuroraGPT: With one trillion parameters, AuroraGPT (also referred to as "ScienceGPT") is expected to assist researchers in fields like biology, climate science, and cancer research by streamlining data analysis and providing insights through a chatbot interface.

1. The ChatGPT-o1 may leverage reinforcement learning to enhance its ability for logical reasoning.
2. Reinforcement learning demonstrates outstanding performance in managing dynamic treatment plans for chronic diseases and critical care.
3. Reinforcement learning is applied in automated medical diagnosis by utilizing both unstructured and structured clinical data.

HIPAA Compliant

HIPAA Compliant

We are committed to maintaining the highest standards of data security and privacy. Every member of our organization is trained in HIPAA compliance, and we implement industry-leading security measures to protect your information throughout the entire data labeling process.

Data Encryption
Access Controls
Secure Storage
Compliance Training

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Send us a sample of your data and we'll return labeled results with a QA report — no commitment, so you can judge our quality before you buy. Prefer to talk first? Book a scoping call.