IoT & Edge Systems
Design and deploy IoT networks that connect sensors, machines, and systems — processing data at the edge and surfacing insights in real time.
IoT & Edge Capabilities
We build the full stack from sensor to dashboard — firmware, edge logic, cloud connectivity, and the analytics layer that makes sensor data actionable.
IoT Network Design
Design and deploy sensor networks using MQTT, CoAP, and AMQP — with secure device provisioning, certificate-based authentication, and scalable broker infrastructure.
Edge AI & Edge Computing
Deploy AI inference models directly onto edge hardware — NVIDIA Jetson, Raspberry Pi, and industrial gateways — for real-time decisions without cloud round-trips.
PLC & SCADA Integration
Bridge OT and IT systems by integrating PLCs, SCADA platforms, and industrial protocols (OPC-UA, Modbus, PROFINET) with modern cloud and analytics infrastructure.
Azure & AWS IoT Platforms
Build on Azure IoT Hub, AWS IoT Core, and Greengrass for managed device management, OTA updates, device shadowing, and fleet-scale telemetry ingestion.
Custom Embedded Firmware
Develop bare-metal and RTOS-based firmware for custom hardware — handling sensor drivers, communication stacks, power management, and OTA firmware update systems.
Digital Twin Platforms
Create real-time digital twins of physical assets — synchronising sensor data, operational state, and predictive models for remote monitoring and simulation.
How We Deploy IoT
Use Case Definition
Define what decisions or automations the IoT system needs to enable — ensuring hardware, connectivity, and software choices are all driven by outcome.
Hardware & Protocol Selection
Select sensors, edge devices, and communication protocols based on environment, latency requirements, power constraints, and security needs.
Firmware & Gateway Development
Build device firmware, edge processing logic, and gateway software with over-the-air update capabilities and secure boot.
Cloud & Analytics Integration
Connect edge devices to cloud IoT platforms, route telemetry to data pipelines, and build real-time dashboards and alerting systems.
Deployment & Fleet Management
Staged rollout across device fleets with remote monitoring, health checks, and automated incident response for connectivity or sensor failures.
Our IoT Stack
We work with both commercial IoT platforms and open-source edge frameworks — choosing the stack that gives you ownership, reliability, and long-term cost efficiency.
Key Benefits
- Sub-50ms edge decisions without cloud dependency
- End-to-end encrypted device communication with certificate rotation
- Scales from 10 to 100,000 devices without architectural changes
- OTA updates deployed to full device fleets in under 30 minutes
- Bridges legacy OT equipment to modern cloud analytics stacks
- Full offline-first operation with intelligent data sync on reconnect
Ready to connect your machines and surfaces?
Talk to our IoT engineers about your use case and get a hardware and connectivity recommendation within 24 hours.