Neovox

We began the project with a Discovery Phase to establish a clear product direction before development began. Although we were initially brought in to build the platform, it quickly became clear that shaping the user experience would be just as important as developing the technology. Our role naturally expanded to include UX strategy and design. Through user flow mapping and business analysis, we helped transform Neovox's ideas into an experience that made sense for both dealerships and vehicle owners.

With Neovox's branding already established, we created a scalable design system that brought consistency across the platform. We then designed both the mobile and web applications, ensuring each experience met the unique needs of its users while feeling like part of the same product ecosystem. Design and development progressed in parallel, allowing our team to keep momentum while refining the user experience. At the same time, three developers worked across the mobile application, dealership platform, and hardware integration, while we also designed a simple marketing website.

Because the solution relied on both custom software and connected hardware, it required close collaboration across multiple teams. A hardware partner developed the smart tracking device and we became the technical bridge between Neovox and the hardware team, translating complex technical discussions into practical decisions and serving as a trusted point of reference throughout development.

We were then responsible for integrating the Neovox device with the software platform and building the backend logic that interprets GPS and movement data. This included the alert system that notifies owners the moment their vehicle moves, as well as geofencing capabilities that determine when a vehicle is parked or leaves a designated area.

Because the hardware and software were being developed simultaneously, some device capabilities weren't yet available when our work began. Rather than waiting, we built simulations that allowed development to continue without slowing the project down. For example, we simulated vehicle trips by replaying predefined GPS routes, allowing us to test movement alerts and geofencing behavior long before the physical device was ready. We also recreated device responses to commands and alarm conditions that would have been difficult to reproduce consistently on a real vehicle. Once the hardware features became available, our simulations closely reflected real-world behavior, allowing us to validate functionality, reproduce issues, and identify bugs early.

To support reliable communication between the device and the platform, we built the backend on AWS and used Protocol Buffers (Protobuf) to enable lightweight, efficient data transmission over LTE. Compared to larger message formats like JSON, Protobuf’s compact payloads help reduce data usage, keeping LTE operating costs down while maintaining fast, reliable communication between vehicles and the platform.