WAYCEN provides an AI‑driven medical platform that enhances the full cancer care cycle, offering real‑time lesion detection for gastrointestinal endoscopy (WAYMED Endo) and smartphone‑based respiratory self‑screening (WAYMED Cough). Its H‑AID system aggregates clinical and lifestyle data, applies multidimensional AI analysis, and delivers personalized care plans while integrating with existing hospital equipment and information systems.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Clinicians and patients face fragmented, low‑accuracy diagnostic workflows for cancer detection, gastrointestinal endoscopy, and respiratory health, often requiring expensive equipment, specialist operators, and multiple visits. This limits early detection, consistent monitoring, and broad access to precision care.
Solution
Waycen delivers an AI‑driven medical platform that enhances the entire cancer care continuum—from early discovery to diagnosis and treatment—by embedding deep‑learning models into existing clinical workflows. Its flagship products, WAYMED Endo and WAYMED Cough, provide real‑time lesion detection during gastrointestinal endoscopy and AI‑based self‑screening of respiratory health using only a smartphone. The H‑AID platform aggregates clinical and lifestyle (life‑log) data, applies multidimensional AI analysis, and generates personalized care plans for patients and researchers. All solutions are compatible with standard medical devices, operate offline when needed, and integrate with hospital information systems for seamless data flow.
Target Audience
Primary customers are hospitals, endoscopy centers, and respiratory clinics seeking AI‑enhanced diagnostics, as well as digital‑health companies and researchers requiring integrated patient data analytics.
Features
- Real‑time AI analysis of upper and lower GI endoscopy video streams, detecting lesions and estimating cancer invasion depth without degrading endoscope performance
- 100 % compatibility with existing endoscopy hardware; no additional equipment required
- Offline operation capability for settings without reliable internet connectivity
- Smartphone‑based respiratory self‑screening that analyzes cough, breath, and voice sounds to assess health risk levels with a simple traffic‑light UI
- H‑AID’s automated collection of biometric and life‑log data from wearables and IoT devices for continuous patient monitoring
- Multidimensional AI engine that correlates clinical findings with lifestyle data to produce individualized care recommendations
- Secure cloud‑hosted analytics and reporting dashboards accessible via web or EHR integration, supporting real‑time alerts and longitudinal trend visualization