IoT Software
Physical Assets, Digital Intelligence
End-to-end IoT software engineering — from device firmware and edge computing to cloud ingestion platforms and real-time analytics — that turns your physical asset estate into a continuous stream of operational intelligence.
Bridging the Physical and Digital — At Enterprise Scale
The gap between what your physical assets actually know and what your operations teams can see is one of the most consistently underexploited competitive advantages in asset-intensive industries. Equipment that could tell you it's about to fail waits in silence. Processes that could be monitored continuously are sampled manually on a shift-by-shift basis. Environmental conditions that drive quality variation go unrecorded until a defect surfaces downstream.
SWA's IoT practice builds the software stack that closes that gap — device firmware and embedded software, edge computing layers for local processing and latency reduction, secure device management and OTA update infrastructure, cloud ingestion pipelines for high-volume telemetry, and real-time analytics platforms that surface actionable insights to the teams positioned to act on them.
- Embedded software and device firmware development
- Edge computing and local inference (AWS Greengrass, Azure IoT Edge)
- IoT cloud platform development and integration (AWS IoT Core, Azure IoT Hub)
- Device provisioning, management, and OTA update infrastructure
- Real-time telemetry streaming and predictive maintenance analytics
What We Deliver
Embedded & Firmware Development
C/C++ firmware development for microcontrollers and RTOS environments — sensor integration, power management, communication protocol implementation (MQTT, CoAP, LwM2M), and hardware abstraction layers for field-deployable devices.
Edge Computing
Edge inference and pre-processing layers that reduce cloud data transfer costs, support offline operation during connectivity gaps, and enable low-latency control loops that cloud-only architectures can't achieve.
IoT Cloud Platform
Scalable device ingestion infrastructure on AWS IoT Core or Azure IoT Hub — handling millions of device connections, message routing, device shadow management, and rule-based event processing at the throughput your device fleet generates.
Device Security
Mutual TLS authentication, certificate rotation, secure boot, encrypted OTA updates, and hardware security module integration — securing the device-to-cloud channel against the growing attack surface that IoT deployments represent.
Telemetry & Analytics
Real-time streaming analytics for condition monitoring, anomaly detection, and predictive maintenance — surfaced in operational dashboards that tell maintenance teams which assets need attention before the asset tells them with a failure.
Device Management
Fleet provisioning, remote configuration, OTA firmware deployment, and device lifecycle management — enabling you to manage thousands of deployed devices without a field engineer for every firmware update.
Why Choose SWA for IoT
Full-Stack IoT Expertise
Most IoT consultancies are strong on cloud and weak on embedded, or vice versa. Our practice spans the full stack — firmware through analytics — so the architecture decisions at each layer are informed by the constraints of the layers adjacent to it.
Security From Firmware Up
IoT security failures are almost always rooted in firmware or device management — not cloud. We address security at the hardware abstraction layer and work upward, not as a cloud-layer afterthought when the devices are already deployed.
Outcome-Oriented Analytics
We design IoT analytics around the operational decision the data should enable — not around the data the sensors happen to produce. The result is dashboards that operations teams use daily, not once-a-quarter data that only engineers understand.
Ready to Extract Intelligence From Your Physical Assets?
Share your use case and asset environment — we'll design an IoT architecture that turns sensor data into operational advantage without drowning your operations team in telemetry noise.