IoT & Connected Hardware
A machine that reports its own condition turns maintenance from a schedule into a response. The engineering problem is getting reliable data out of a noisy place.
Firmware written for the environment it lives in
Industrial sites have poor connectivity, electrical noise and power that is not guaranteed. Devices buffer locally, reconnect without intervention, and are updatable over the air — because nobody wants to visit a hundred sensors to fix a bug.
- ESP32 and ARM firmware
- Local buffering through network loss
- Over-the-air updates with rollback
Telemetry that arrives in order and stays cheap
MQTT for transport, time-series storage for volume, and retention policies decided at the start. Sensor data is easy to collect and expensive to keep, so what is downsampled and what is kept in full should be a decision rather than an accident.
- MQTT 5.0 with quality-of-service guarantees
- Time-series storage sized for the volume
- Retention and downsampling defined up front
Alerts that fire before the failure
Thresholds catch the obvious. Anomaly detection catches the drift — the bearing that is warming a degree a week, which no fixed threshold would flag until it was already a repair.
- Threshold and anomaly-based alerting
- Escalation paths, so alerts reach someone
- Dashboards for the floor, not just the office
Handed over, not hosted hostage
Everything runs on your accounts and your infrastructure. Nothing is locked to us, and leaving does not require our cooperation.
- Firmware source and build toolchain
- Provisioned devices and an onboarding process
- Dashboards and alert configuration
- Data retention policy, written down
When this is the wrong answer
If the equipment already exposes data through a vendor platform, integrating with it is usually cheaper and faster than instrumenting it ourselves.
Tell us the problem, not the solution
A senior developer reads every enquiry and replies within a working day — including when the honest answer is that you do not need this.
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