Intelligent Scopes Corp unveiled the ISC 100, a plug‑and‑play edge computing appliance that adds AI‑driven cystoscopy analysis to existing urology equipment without replacement, rewiring, or cloud connectivity.
Intelligent Scopes Corp (ISC), a subsidiary of Claritas HealthTech Ltd., announced the launch of the ISC 100, a self‑contained edge computing appliance designed for urology clinics. The device attaches to a hospital’s existing cystoscopy tower as a second screen, allowing AI‑enhanced imaging without the need to replace or modify the original equipment (according to the Globe Newswire release dated Oct. 18, 2026)【3】.
The ISC 100 runs on NVIDIA’s Jetson Orin platform and processes video feeds directly on the device, eliminating any reliance on cloud services. By keeping inference on‑site, latency is minimized and patient video data remains within the hospital’s secure environment. Installation is as simple as connecting the tower’s video output and power, with no additional IT integration or network connections required (source【3】).
Key hardware features include a 5.5‑inch AMOLED touchscreen that folds flat for easy storage, dual recording of both the raw endoscopy feed and the AI‑processed view, and encrypted storage for compliance. The platform supports a range of ISC software devices—such as computer‑assisted detection (CADe) and diagnosis (CADx)—and is built to host additional applications after regulatory clearance (source【3】). The first software device, CystoSmart™, has already received clearance in Brazil and Singapore.
CEO Chetan Baxi emphasized the product’s “plug‑and‑play” nature, noting that clinicians can simply attach the unit, switch it on, and begin using AI without waiting for lengthy integration projects. Chief Medical Officer Dr. Rajesh Nair added that the ISC 100’s manufacturer‑agnostic design ensures compatibility across different cystoscopy vendors, enabling rapid deployment in varied clinical settings (source【3】).
By offering a hardware‑independent, edge‑based solution, Intelligent Scopes aims to lower barriers to AI adoption in urology, providing hospitals with a cost‑effective path to advanced imaging analytics while preserving existing infrastructure.