The infrastructure behind Medical AI
Licensed physicians. Validated workflows. LabelCore delivers the annotation infrastructure that Medical AI companies depend on to ship.
Tri-Layer Validation
Physician annotation, algorithmic QA, and continuous model refinement. Zero single points of failure
Licensed Physician Annotators
Every label traced to a licensed physician. No crowd workers. No anonymous contributors. Full credential transparency
Scale Without Compromise
From 1,000 to 10M+ datasets. Same SLA, same physician oversight, same audit trail
Regulatory-Ready Output
Datasets built for FDA submissions, CE marking, and clinical validation. Audit-ready from day one
Clinical NLP & Documentation
Structured extraction from clinical narratives, discharge summaries, and operative notes. Physician-verified output your pipeline can ingest directly
Medical AI Annotation at Scale
Subspecialty coverage from radiology to pathology. Physician-annotated datasets at any scale.
Medical Imaging
CT, MRI, X-ray, ultrasound, and PET annotation by subspecialty-trained radiologists. DICOM-native workflows.
Pathology & Histology
Whole-slide image annotation for surgical pathology, cytology, and immunohistochemistry. Certified pathologists.
Biosignals & Cardiology
ECG/EKG rhythm classification, echocardiography segmentation, and continuous monitoring signal annotation.
HIPAA Compliance
Fully HIPAA compliant. End-to-end encryption at rest and in transit. Zero data exposure by design.
API Integration
RESTful API with SDK support for Python and Node.js. Webhooks for real-time pipeline orchestration.
Quality Assurance
Multi-reviewer consensus with inter-annotator agreement metrics. Contractual accuracy SLAs per tier.
Select your Accuracy Standard
Every tier is HIPAA-compliant with full audit trails. Match annotation quality to your regulatory pathway and budget.
HumanExpert
Physician-only annotation with multi-reviewer consensus. Built for FDA and CE submissions.
Regulatory submissions, clinical trials, and safety-critical AI
Contact SalesAI+Human
AI pre-labels at scale. Physicians validate and correct. 10x throughput, clinical-grade output.
Model training, R&D pipelines, and pre-submission prototyping
Book a DemoPre-Labeled
Curated, pre-annotated medical datasets. Download today, train tomorrow.
Proof of concept, academic research, and model benchmarking
Explore DatasetsFrom Upload to Production
Four steps from raw data to production-ready annotations
Upload Your Data
Upload DICOM, NIfTI, or standard imaging formats via API or secure portal. Encrypted transfer, HIPAA compliant.
Physician Annotation
Licensed physicians apply bounding boxes, segmentation masks, and classification labels. Each annotator is subspecialty-matched to your data modality.
Quality Validation
Multi-physician consensus review with inter-annotator agreement scoring. Automated outlier detection catches edge cases.
Delivery
Export annotated datasets via API, S3, or direct download in COCO, PASCAL VOC, or custom schema. Provenance reports and quality metrics ship with every dataset.
Your expertise trains Medical AI
Licensed physicians annotate medical data on your terms. Flexible scheduling. Premium compensation.