Datamonk Information

Dirty imaging data is impacting clinical workflows, research, and AI models. Datamonk is the data quality layer for healthcare, starting with medical imaging. We build one AI engine that analyzes, cleanses and normalizes imaging data at scale. It reads both the metadata and the pixels. What we do: 1) PACS/VNA migrations, with data quality improvement built in. 2) Continuous data quality: standardized study and series descriptions, correct body-part information, validated against the pixel data. Built for clinical workflows & teleradiology. 3) Create de-identified imaging datasets for research and secondary use, with anonymization across metadata, pixel data, and reports. Datamonk is built by founders with two exits and 45 years in healthcare data, and works with PACS vendors, hospitals, and US data platforms. We turn dirty archives into trustworthy, AI-ready data. Get in touch via datamonk.ai