The company’s approach centers on the limitation of current imaging-heavy guidance. As clinical guidelines push for reduced radiation and contrast media, surgeons lose critical situational awareness. Sentante argues that an AI trained solely on 2D fluoroscopy is inherently flawed because it ignores the tactile feedback that prevents vessel perforation. By integrating drive-side force and torque sensing directly into the catheter interface, the platform captures the load profiles that distinguish safe navigation from potential trauma.

Unlike joystick-based robotic systems that force clinicians to learn new motor patterns, Sentante’s interface mimics manual intervention. Surgeons use standard catheters and guidewires, allowing the system to record authentic clinical skill rather than robotic operation. This design choice removes the steep learning curve associated with specialized hardware, enabling any experienced interventionalist to contribute to the dataset from their first use. The platform, which utilizes NVIDIA hardware, is currently expanding its commercial presence in Europe while pursuing regulatory pathways for remote stroke thrombectomy.