Leading UK MedTech Innovator Accelerates Clinical Readiness with AI-Driven Respiratory Platform
Case Study
Leading UK MedTech Innovator Accelerates Clinical Readiness with AI-Driven Respiratory Platform
Case Study Highlights
A Brentwood-based freight tech company partnered with Trigent to unify its TMS platforms following the acquisition of Kuebix TMS. By building a modern API gateway, the solution allowed customers to take advantage of new products, streamlined backend operational workflows, eliminated redundancies, and reduced integration costs by up to 30%. It enabled the company to realize the value expected from the merger with Kuebix within xx months.
About the Client
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.
Business Challenge
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.
Trigent Solution
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.
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.
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.
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.
Client Benefits
- Accelerated Clinical Trial Readiness: Fast-tracked development of the client’s AI-powered remote respiratory monitoring platform, supporting planned clinical trial readiness.
- Scalable Cloud Architecture: Engineered a robust architecture designed to support future product growth, expanded AI capabilities, and new device integrations.
- Simplified Data Exchange: Created standardized REST APIs, enabling fast, reliable communication between mobile devices and backend systems.
- Seamless Hardware Integration: Built an Android application that seamlessly integrated with existing .NET MAUI and native C++ sensor communication libraries.
- Structured AWS Environments: Established staging and production environments on AWS to support structured testing, seamless deployment, and ongoing product evolution.
- Unified Digital Ecosystem: Delivered a unified software platform that consolidated mobile, backend, database, and cloud capabilities into a cohesive remote monitoring ecosystem.
Technology Stack
