IoT & Edge Intelligence
Connected devices that sense, decide, and act in real time, with the intelligence pushed to the edge.
What we deliver
We build IoT systems end to end, from the sensors on the device to the dashboards your team watches, and we run the decision-making where the data is created rather than waiting on a round trip to the cloud. That means perception, inference, and control happen on the edge in milliseconds, with the cloud reserved for fleet management, long-term storage, and analytics. The result is hardware that genuinely thinks: fast, reliable, secure, and built to scale from one device to thousands.
- ✓End-to-end IoT product development, from sensor selection and firmware to the application layer and deployment
- ✓On-device edge inference that runs computer-vision and ML models locally for instant decisions without cloud latency
- ✓Device integration and connectivity over MQTT, BLE, Modbus, LoRaWAN and cellular, with secure provisioning and OTA firmware updates
- ✓Real-time dashboards and visualisation that turn live sensor and event streams into operational insight
- ✓Predictive maintenance and condition monitoring that flag failures from sensor patterns before they cause downtime
- ✓Edge-to-cloud architecture with fleet management, remote configuration, and reliable store-and-forward over flaky networks
- ✓Hardened security across the device lifecycle: encrypted transport, signed firmware, and managed update pipelines
Decisions in milliseconds, not seconds
Running inference and control logic on the edge removes the cloud round trip, so the system reacts the moment something happens. Critical actions keep working even when connectivity drops.
Less downtime, fewer truck rolls
Condition monitoring and predictive maintenance surface faults from sensor data before they become failures, and over-the-air updates let you fix and improve the whole fleet remotely instead of dispatching engineers.
Built to scale and stay secure
We design the architecture once to run from a single prototype to a fleet of thousands, with encrypted transport, signed firmware, and centralised device management so growth never outpaces control.
Related services
Common questions
What is the difference between edge and cloud processing, and why does it matter?
Edge processing runs the analysis directly on the device or a local gateway, while cloud processing sends data away to be handled remotely. Edge wins when you need instant decisions, want to keep working through poor connectivity, or need to keep sensitive data on site. We typically combine both: time-critical logic on the edge, with the cloud handling storage, fleet management, and longer-term analytics.
Can you add intelligence to hardware we already have?
Often yes. We can integrate with existing devices, sensors, and PLCs over standard protocols, add an edge gateway to bring compute and connectivity to legacy equipment, and layer dashboards and analytics on top, rather than requiring a full hardware replacement.
How do you keep deployed devices secure and up to date?
We design for the full device lifecycle: encrypted communication, signed firmware, and secure provisioning from day one, plus an over-the-air update pipeline so you can ship security patches and new features to the whole fleet remotely without site visits.
Let's build AI that fits your business
Talk to an engineer who has shipped this, not a salesperson. Free 30-minute consultation.