SunyaEK develops AI tools that turn routine health data into early warnings, decision support, and operational efficiency. Our work is designed for low-resource and frontline settings, where simple, explainable, and locally validated models often deliver more impact than complex black boxes.

Where we apply AI

• Predictive models for disease risk, outbreak detection, and patient deterioration
• Natural language processing for clinical notes, registries, and Nepali-language health content
• Computer vision for diagnostic support and image triage
• Conversational AI and chatbots for Community Health Workers and patients
• AI-assisted data quality, deduplication, and anomaly detection in DHIS2 and EMR data
• Decision-support dashboards layered on top of HIE data

Every solution is built with attention to privacy, fairness, explainability, and alignment with WHO and national guidance on AI for health.