IoT Development and Solutions

IoT projects usually go well in the pilot and badly at scale, and the reason is that a pilot never exercises the problems that define the system. Ten devices on a desk behave; ten thousand devices in the field have intermittent connectivity, drifting clocks, corrupted flash, firmware versions three releases apart, and a failure mode that appears only on the hardware revision your contract manufacturer switched to without telling anyone. Everything about the architecture should be designed around that reality from the start.

We design for the field. Devices are built to operate autonomously through extended disconnection, buffering telemetry locally and reconciling on reconnect. Firmware updates are delivered over the air with staged rollout, signature verification, an A/B partition scheme and automatic rollback on failed boot — because a bricked fleet is an unrecoverable event, not an incident. Each device has a cryptographic identity provisioned at manufacture, with certificate rotation and a revocation path for when a device is stolen or compromised.

The data side is a streaming problem. Telemetry ingestion sized for peak rather than average, time-series storage with downsampling and retention tiers so five years of history does not become unaffordable, stream processing for real-time alerting, and edge computing where bandwidth cost or latency makes local inference the correct answer. We build the fleet management layer too — device registry, health and connectivity monitoring, configuration management, remote diagnostics and a support interface that a non-engineer can actually use.

We work across industrial, commercial and consumer contexts, and we are comfortable with the protocol landscape: MQTT and CoAP for constrained devices, Modbus and OPC UA for industrial equipment, BLE and Zigbee for local mesh, and cellular or LoRaWAN for wide-area deployments.