Saight develops a real-time AI‑powered computer‑aided detection system for colonoscopy that highlights and outlines suspicious lesions pixel by pixel, helping clinicians detect and characterize polyps more accurately during colorectal cancer screening. The plug‑and‑play device integrates with existing endoscopy towers, delivering immediate visual assistance without altering existing workflows.
Funding
Funding not disclosed
Founders
Product
Problem
Colonoscopy procedures miss approximately 25% of adenomas, leading to preventable colorectal cancer deaths worldwide. Detecting subtle or flat lesions requires high visual precision that can be challenging for clinicians during real-time screening.
Solution
Saight provides a real-time AI‑assisted computer‑aided detection system that integrates with any endoscopy tower as a plug‑and‑play, stand‑alone device. The platform continuously analyzes the video feed, outlines the exact shape and margins of suspicious lesions pixel by pixel, and highlights them to the endoscopist without interrupting workflow. By delivering precise visual augmentation, the system helps clinicians detect, characterize, and treat lesions that might otherwise be missed, aiming to lower the adenoma miss rate and improve outcomes in colorectal cancer screening.
Target Audience
Primary customers are hospitals, endoscopy centers, and gastroenterology practices that perform colorectal cancer screening and require advanced detection tools to improve diagnostic accuracy.
Features
- Real-time AI inference that delineates polyp boundaries at pixel-level precision
- Plug‑and‑play hardware compatible with all standard endoscopy towers, requiring no workflow changes
- Detection of subtle, flat, and otherwise hard‑to‑spot lesions to enhance diagnostic sensitivity
- Stand‑alone device that operates independently of existing imaging software
- Visual overlay that guides clinicians during both detection and therapeutic interventions