Internet of Things (IoT)
IoT is a growing area for us. We combine our software and analytics capability with connected devices to build monitoring and data solutions. Engagements are currently scoped case by case, and we are open about what is proven and what is exploratory.
Problems we address
Challenges we help solve.
- Equipment and environments that are monitored manually, if at all
- Sensor data that is collected but never analysed
- Pilot deployments that cannot grow beyond a handful of devices
Services offered
What we offer
IoT application development
Dashboards and mobile-friendly applications that connect to device data.
Smart monitoring solutions
Condition, environment and usage monitoring with alerts.
Sensor integration
Connecting sensors and microcontrollers to cloud back-ends via standard protocols.
IoT analytics
Time-series analysis, anomaly detection and predictive maintenance models.
Technology stack
Tools we use
- MQTT
- ESP32 / Raspberry Pi
- Python
- Node.js
- Time-series databases
- Edge ML
Industry applications
Where it applies
- Manufacturing
- Campuses & facilities
- Agriculture
- Healthcare environments
Development approach
How we work on it
- Step 1
Feasibility first
Confirm sensors, connectivity and data value before scaling.
- Step 2
Pilot
A small, instrumented pilot with clear success criteria.
- Step 3
Analyse
Turn device data into alerts and insights.
- Step 4
Scale carefully
Expand only once reliability and value are demonstrated.
Discuss your internet of things project
Tell us about your goals and we will outline a practical first step.