AI-enhanced intravascular imaging for cardiac catheterization procedures
Gentuity manufactures next-generation OCT imaging catheters for interventional cardiology, with a tech stack centered on Python, TensorFlow, PyTorch, and AWS—reflecting both embedded medical-device firmware needs (C++, Qt, DICOM/PACS) and AI/ML ambitions for real-time image analysis. Active projects span clinical installations, cath-lab training, and regulatory submissions (510(k), CE marking), while pain points cluster around supply-chain stability, manufacturing process control, and clinical adoption friction—typical for a 51–200-person medtech firm scaling from development into field support.
Gentuity develops high-frequency OCT imaging systems and catheters for cardiologists performing intravascular procedures. Founded in 2015 and based in Sudbury, Massachusetts, the company positions its platform around AI-assisted image interpretation and procedural guidance. The product line includes a 1.8F micro-imaging catheter designed for total vessel visualization. Go-to-market centers on direct clinical installations, on-site training for catheterization-lab staff, and sustained customer support. Engineering dominates the org (7 roles), with manufacturing (2), healthcare (1), sales (1), and support (1) rounding out active headcount—a configuration typical of early-commercial medtech firms balancing product refinement against field adoption.
A high-frequency OCT imaging system with a 1.8F micro-imaging catheter for intravascular cardiac imaging, incorporating AI and machine learning for collaborative intelligence during catheterization procedures.
TensorFlow, PyTorch, Python, AWS, Azure, C++, Qt, OpenCV, DICOM/PACS, Git, SolidWorks, and Minitab for design, analysis, and cloud infrastructure.
Other companies in the same industry, closest in size