Prescriptive Edge Maintenance for Global Transit Fleets
Real-time edge workers processing sensor streams from 45,000 maritime and road transit units.
Engineered ultra-low-power edge nodes and a distributed MQTT broker mesh to forecast component failure before physical degradation.
We built an edge telemetry runtime compiled in Go with lightweight local ML inference. When satellite links reconnect, delta state syncs via binary Protobuf streams into a multi-region TimescaleDB cluster, triggering predictive failure alerts automatically.