Powering Medical AI with Precision Data Labeling for Diagnosis and Care

Training data is the foundation of effective medical AI/ML models, enabling accurate differentiation between healthy and abnormal tissue, prognosis prediction, and treatment planning.

Yet much of this data remains unstructured and difficult to access. With guidance from board-certified professionals, Coral Mountain Data’s annotation team transforms unstructured data into high-quality, privacy-protected datasets that fuel medical AI with actionable insights.

What Sets Coral Mountain Data Apart

The Coral Mountain Data Medical AI Innovation Hub collaborates with global research institutions, healthcare providers, insurance firms, and technology partners to deliver FDA- and HIPAA-compliant data solutions that enhance diagnostic accuracy and accelerate AI development.

By combining domain expertise with advanced data annotation tools, we support every stage of medical AI innovation. Our services include annotation of medical images (X-rays, CT scans, MRIs), processing of text and audio from clinical records, annotation of surgical videos, segmentation of biosignals (ECGs, EEGs), and tailored labeling for Generative AI medical applications—ensuring high-quality, regulatory-grade training data.

Advanced Annotation Platforms

At our Medical AI Innovation Hub, we leverage industry-leading platforms such as RedBrick, V7, and Labelbox to streamline data annotation, labeling, and management. With expertise in handling complex multimodal data—including imaging, text, audio, video, waveforms, and clinical records—and strict adherence to healthcare compliance standards, we deliver high-quality services that integrate seamlessly into client workflows, accelerating AI development and enhancing diagnostic accuracy.

Board-Certified Medical Experts & Annotation Specialists

Coral Mountain Data unites a multidisciplinary team of board-certified radiologists, medical specialists, and trained radiology annotators to benchmark and validate data across radiology, cardiology, dentistry, and more. Supported by active project management and rigorous quality control, we deliver accurate, HIPAA-compliant datasets at scale.

Facilitating FDA Approvals for Medical AI

Security and regulatory compliance in the rapidly evolving field of medical AI demand constant vigilance and adaptation. At our Innovation Hub, we leverage DataSum, a proprietary “Nutrition Facts”-style framework, to deliver unmatched transparency and precision in AI training data—supporting CFR 21 Part 11 compliance and streamlining FDA 510(k) clearance processes with confidence.

End-to-End Solutions

We provide end-to-end solutions for acquiring, preparing, annotating, and managing imaging data across modalities such as X-rays, CT scans, ultrasounds, and MRIs, as well as clinical records and biomedical datasets. Our dedicated curation teams and reviewer annotators ensure high-quality, accurate labeling to support model training, clinical research, and regulatory validation.