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Clinical-Grade Data for AI Development

The Data Infrastructure Layer for Medical Imaging AI

We build verified, regulatory-grade imaging datasets and DICOM infrastructure tools that power clinical AI development — from curation to deployment.

Clinically Validated

Every annotation reviewed by board-certified radiologists

Regulatory-Ready

Aligned with FDA and CE Mark requirements for AI/ML devices

Bias-Aware

Systematic demographic and protocol diversity checks

End-to-End Curation

Complete pipeline from data ingestion to certified export

PMS Imaging Standard™

Our proprietary validation framework ensures every medical imaging dataset meets clinical-grade quality, full traceability, bias awareness, and regulatory compliance before it enters your AI pipeline.

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Ingest DICOM Data Validate 21 Rules Certify Sign-off Export ML-Ready

Infrastructure for Every Stage

From curated datasets to developer tools and talent. Everything you need to build compliant medical imaging AI.

Radiologist-Annotated Datasets

Lung CT and chest X-ray datasets with structured, clinically validated annotations. Every label reviewed by board-certified radiologists.

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DICOM Infrastructure Tools

10 conversion and de-identification tools for medical imaging workflows. Built for developers, validated for compliance.

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Talent Pipeline

Training the next generation of medical imaging AI engineers through structured courses and university partnerships.

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Built for Your Team

Whether you're in pharma, medtech, research, or clinical operations — we have the data infrastructure you need.

Pharma Companies

Need regulatory-grade imaging data for companion diagnostics and drug development. We provide FDA/CE-aligned datasets with full provenance chains.

Medtech / Device Companies

Building AI-powered diagnostic devices requires validated training data. Our certified datasets accelerate your path to market clearance.

AI Research Teams

Stop spending months curating data. Start with bias-aware, traceable datasets compatible with MONAI, nnU-Net, and Hugging Face.

Clinical Research Organizations

Multi-site imaging studies demand standardized data handling. Our infrastructure ensures consistency and compliance across every site.

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10 DICOM Tools Available
Radiologist-Validated Annotations
FDA/CE Pathway Compliance
SJIT University Partnership

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How quantitative imaging features are transforming diagnosis, prognosis, and treatment planning across oncology and beyond.

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AI-Powered Medical Imaging: Transforming Diagnostics

From automated detection to clinical decision support: exploring how deep learning is reshaping radiology workflows.

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Research

AI in Fusion of Pathomics and Genomics Data

Combining pathological imaging data with genomic information opens new frontiers in personalized medicine and targeted therapies.

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Ready to Build with AI-Ready Data?

Get in touch to discuss your medical imaging data needs

Contact Us