Our client had developed an AI model for diagnostics use in radiology and asked us to develop an app for clinicians to interface with the model. We developed a responsive web app for use on desktops and tablets and deployed it on the (client) hospital's local servers. The app features a user-friendly AI-assisted diagnostics interface as well as a clear, digestible dashboard for tracking patients' conditions. We also designed the database and configured it on the local servers.

Our client had developed a proof-of-concept of their coaching system for patients with diabetes. They came to us to turn it into a full-fledged product. We developed a user-friendly cross-platform mobile app on React Native and deployed the servers and database with AWS and Firebase. The app has since been published and live on Google's Play Store and Apple's App Store.

Our client had developed a new sensor with uncommon components to measure patient vitals. Their request was to develop accompanying software and firmware, including server system and data transmission protocols between the application and the server. We developed a mobile application for clinician use and proprietary firmware featuring multithreading over BLE GATT, data compression, and wireless flashing capabilities. We also enabled Wi-Fi transmission of data from multiple peripheral devices and secured at-rest and in-transit project data with encryption. The entire project was developed according to ISO 13484 and 27001, and maintains Singapore HSA & MOH standards of patient health data security.

Our client needed local standalone network access storage (NAS) to store data for their projects. They asked us to build and configure the servers, and build a dashboard to view the data. We purchased, set up, and configured the custom servers and administered on-going maintenance of the servers. We also built a responsive dashboard with Grafana for use on desktop and iPads. Project data was secured with encryption, secure Wi-fi protocols, and password-protected API calls.