Mediaire builds AI tools that augment radiologists' diagnostic speed and accuracy on MRI scans. The stack—Python, PyTorch, Docker, AWS, DICOM, PACS—reflects a medical-imaging-focused ML shop. Active projects span MRI protocol optimization, deep learning computer vision, scalable ML pipelines, and clinical validation, indicating maturity beyond prototype; pain points (regulatory compliance, production transition, PACS integration, lead acquisition) reveal the friction between building ML models and shipping medical devices into healthcare IT ecosystems.
Notable leadership hires: Growth Lead
Mediaire is a Berlin-based medical-device company founded in 2018, focused on AI-assisted diagnostic software for MRI imaging. The product suite targets radiologists and radiology departments seeking faster, more accurate interpretations of MRI scans through quantitative imaging biomarkers and brain volumetry. The company operates across MRI protocol optimization, PACS integration, and ML pipeline infrastructure. Hiring has decelerated to one open role in the past 30 days across a lean 51–200-person team, with engineering and product roles concentrated at mid-to-senior levels, indicating a shift from growth-phase hiring toward execution and clinical validation.
Python, PyTorch, Docker, AWS, DICOM, PACS, Git, Linux, and Windows. The stack is centered on medical imaging standards (DICOM/PACS) and cloud-native ML infrastructure.
MRI protocol optimization, deep learning models for medical imaging, PACS connectivity, clinical validation frameworks, scalable ML pipelines for radiological data, and MRI system integration.
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