We worked closely with XtremisSL’s internal R&D team to build a high-performance backend architecture that supported distributed data processing pipelines. Our system enabled real-time ingestion and analysis of RF data, linked directly to the AI modules responsible for conflict detection and response. On the frontend, we designed a lightweight web-based control dashboard, visualizing key metrics such as signal strength, frequency conflict zones, and automated mitigation actions. The UI allowed operators to drill down into real-time events while also reviewing historical trends and audit logs. To ensure deployment flexibility, we packaged the system using containerized services for edge devices and private cloud deployments.