Our Product

Quadpoint Labs AI-Powered Virtual Lab redefines early detection and prevention of colorectal cancer—delivering lab-grade diagnostics from the comfort of home.
Our platform integrates artificial intelligence, multi-biomarker stool testing, and cloud data analysis to deliver accurate, early-stage diagnostics without the need for lab visits or specialized hardware.

Using a simple, home-friendly test, we measure key biomarker levels linked to colorectal cancer and pre-cancerous conditions. These results are instantly analyzed by our AI engine, providing personalized, quantitative insights that support better prevention and early intervention.

With Quadpoint, preventive care becomes smarter, more scalable, and accessible to everyone.

Device: Disposable passive sensor

A multi-target lateral flow device, specifically modified for AI-based image analysis. Designed for simple, clean, and convenient use at home, it passively activates a biological reaction, producing a dot-matrix output ready for cloud-based interpretation—no external readers or lab equipment required.

Developed in collaboration with a leading CDMO diagnostics partner, ensuring scalability, quality, and regulatory alignment.

Laboratory: Virtual Cloud-Based AI Lab

Using advanced AI-driven image analysis, our platform reads and interprets multi-biomarker test results directly from a smartphone image, delivering quantitative, personalized insights in minutes. The Virtual Lab also considers each user’s test history and risk profile, enabling longitudinal analysis for earlier detection, better trend recognition, and smarter clinical decisions.

Functionality: Multi-Biomarker Detection

A groundbreaking technology for the precise detection of multiple biomarkers – each measured repeatedly to deliver a comprehensive and in-depth medical profile.

App: QuadPoint Health App

A personalized mobile app that guides users through every stage of testing—offering 24/7 AI-powered support for reminders, education, medical summaries, follow-up guidance, and real-time responses.
Built with a robust API, it seamlessly integrates into existing HMO platforms and care systems.