Our client is a UK-based medical device company developing an AI-powered platform for real-time remote respiratory monitoring. The platform combines continuous patient data capture with proprietary respiratory analytics to help clinicians identify early signs of respiratory deterioration, enabling intervention before conditions progress or become critical.
To meet tight trial deadlines, the client needed to rapidly build the software for clinical trial readiness, with a strong foundation for its connected respiratory monitoring platform.
As our client advanced their technology for clinical evaluation, they required a robust digital platform to support sensor connectivity, secure data exchange, cloud-based data management, and a patient-facing mobile application. Building this foundation was essential for upcoming clinical trials and future commercial growth.
To meet tight trial deadlines, the client needed to rapidly build the software foundation for its connected respiratory monitoring platform.
The project involved developing multiple components simultaneously, including cloud-based backend services, REST APIs, database infrastructure, and an Android application capable of communicating with proprietary respiratory monitoring sensors. Crucially, the solution had to integrate existing .NET MAUI libraries and native C++ components while maintaining a scalable architecture capable of supporting future product evolution.
With clinical validation scheduled shortly after development, the client required an engineering partner capable of delivering a reliable, scalable platform that would enable both immediate trial readiness and long-term platform growth.
1. The Discovery Phase: Understanding the Product Vision and Technical Landscape
Before development began, Trigent worked closely with the client’s engineering team to understand the overall product architecture, respiratory monitoring workflow, and existing technology stack. We evaluated the current .NET MAUI libraries responsible for communicating with proprietary respiratory sensors, analyzed the native C++ components that supported the solution, reviewed the proposed application experience through Figma designs, and mapped interactions across the mobile application, backend services, and cloud infrastructure.
This discovery phase established a clear technical roadmap and ensured that new development aligned with the client’s long-term product vision rather than simply meeting immediate delivery requirements.
2. The Foundation Phase: Building the Digital Foundation
With the architecture defined, Trigent began building the backend platform that would support the client’s respiratory monitoring solution.
The team designed the application’s data model, developed REST APIs to enable secure communication between system components, and implemented a SQL database hosted on AWS. Alongside the core application services, we established staging and production environments to support structured testing, reliable deployment, and future product evolution.
The backend architecture was designed for high scalability, allowing the platform to accommodate growing usage as the solution progresses beyond its initial clinical evaluation.
3.The Application Building and Modernization Phase: Developing the Mobile Experience
Trigent developed the Android application using .NET MAUI based on the client’s Figma prototypes, transforming early product designs into a functional mobile experience.
We integrated the application with the client’s existing .NET MAUI communication libraries and native C++ components, enabling seamless interaction with proprietary respiratory monitoring sensors. We also connected the app with the backend platform through REST APIs, creating an integrated flow of data between the mobile application, cloud services, and the broader monitoring ecosystem.
4.Delivering a Platform Ready for Clinical Evaluation
Working within an aggressive delivery schedule, Trigent successfully developed the core software platform required to support the client’s planned clinical trials.
Rather than delivering isolated application components, we provided a fully integrated platform combining mobile, cloud, and backend capabilities into a cohesive solution. This enabled reliable respiratory data capture, secure communication, and future product expansion as the client’s technology matures.
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