Data/IoT
End-to-end IoT system development — device firmware, connectivity protocols, cloud ingestion, edge processing, and operational dashboards — from prototype to deployed fleet.
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Years in production
What it is
IoT system development encompasses the design and build of connected device ecosystems: embedded firmware, device-to-cloud communication protocols (MQTT, CoAP, HTTP), cloud-side ingestion and processing infrastructure, and applications that visualise and act on device data.
What you get
IoT projects involve more failure modes than pure software: intermittent connectivity, battery constraints, firmware update challenges, manufacturing variation in sensors, and physical environments that software simulations do not replicate. We account for these constraints in architecture, not as an afterthought.
Device connectivity options are selected based on range, power, bandwidth, and cost: MQTT over LTE or WiFi for high-bandwidth applications, LoRaWAN for low-power long-range sensor networks, Zigbee or Z-Wave for short-range mesh networks, and Bluetooth LE for proximity applications. Cloud ingestion typically runs on AWS IoT Core, Azure IoT Hub, or Google Cloud IoT.
Edge computing is built in where processing needs to happen before reaching the cloud — local anomaly detection, pre-aggregation to reduce bandwidth costs, and offline operation when connectivity is unavailable. Firmware OTA update infrastructure ensures deployed devices can be patched and upgraded without physical access.
Key capabilities
Each engagement is scoped to your requirements — these are the core capabilities we bring to the table.
AWS IoT Core, Azure IoT Hub, and Google Cloud IoT ingestion
Edge processing with local anomaly detection and pre-aggregation
Over-the-air (OTA) firmware update infrastructure
Device management: provisioning, monitoring, and remote commands
Real-time dashboards and alerting for device fleet health
Our process
A structured, engineering-led approach that moves from understanding your goals to a production system — with no handoff surprises.
Typical engagement
8–16 WEEKS
We map your goals, constraints, and existing infrastructure. Scope is defined and success criteria agreed before any development begins.
We design the technical approach, select the right tools, and produce a milestone-driven delivery plan with no ambiguity.
Iterative development with regular demos. Code reviews, test coverage, and documentation happen in parallel — not at the end.
Production release with monitoring setup and handover documentation. We stay close during the first weeks post-launch.
Built with
Unique per-device identity (X.509 certificates or provisioned API keys), TLS for all cloud communication, firmware signing to prevent tampered updates, minimal attack surface by disabling unused hardware interfaces, and network segmentation to isolate IoT devices from production systems. Constrained devices that cannot run TLS use secure element hardware for key storage.
Offline-first firmware with local buffering stores data in non-volatile memory during connectivity loss and transmits buffered data when reconnected. The server-side handles out-of-order message delivery and duplicate suppression. We define acceptable buffer size and data loss policy per use case during architecture design.
Device registry with provisioning state, health monitoring with last-seen timestamps and heartbeat alerts, over-the-air update orchestration with staged rollout (canary → percentage → full fleet), and audit logging for remote commands. At scale, we integrate with dedicated device management platforms (AWS IoT Device Management, Azure IoT Hub) rather than building custom fleet management.
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
