CLIEncoders · Services
IoT development services
One device is a prototype. A thousand devices is a different discipline — provisioning, updates, observability and cost per unit per month, all decided long before the fleet exists.
What changes at scale
A demo that works on your desk tells you almost nothing about the system you are about to operate. At fleet scale the questions become: how does a factory-fresh device get its identity without a human typing credentials, how do you update ten thousand units without bricking any, how do you know a device is dead rather than merely quiet, and what does the data pipeline cost per device per month.
Those four questions have architectural answers, and answering them late means rebuilding. We answer them in the first design pass, even for a pilot, because the pilot's architecture is usually the one you keep.
The full stack, one team
Device-side firmware with power budgets that match the deployment reality, secure provisioning and per-device credentials, and an OTA path with staged rollout and automatic rollback. Transport over MQTT, with store-and-forward for the connectivity gaps that are the norm rather than the exception in the field.
On the platform side: ingestion sized for your real message rate, time-series storage in PostgreSQL with TimescaleDB where query patterns justify it, alerting on both data and silence, and operator dashboards built for people who need to act rather than admire a chart.
Where AI fits, and where it does not
Anomaly detection and failure forecasting on sensor data are genuinely valuable and we build them. But they need a baseline of real operating data first, and a pilot that has run for three weeks does not have one. We would rather instrument thoroughly now and add models when the data supports them than ship a model trained on too little and call it intelligence.
Questions
What people ask before starting
Which connectivity should my device use?
It is decided by range, power budget and who pays the recurring bill. BLE for phone-proximate devices with no cellular cost, Wi-Fi where infrastructure exists and power is available, LoRaWAN for long range at very low data rates and multi-year battery life, cellular where the device moves and someone accepts a SIM bill. We work this out from your deployment, and the answer is often a combination.
Do we have to use AWS or Azure?
No. Both work well and we build on either, but a self-hosted stack on your own infrastructure is entirely viable and sometimes markedly cheaper at steady state. The right answer depends on your scale, your data-residency obligations and who will operate it at three in the morning.
Can you take over an existing IoT deployment?
Yes. It starts with an audit of the device fleet, the update mechanism and the data pipeline. The most common finding is a fleet with no working update path, which makes everything else urgent — you cannot fix a bug you cannot deploy.
How do you handle devices that lose connectivity?
We assume they will. Devices buffer locally and forward when the link returns, timestamps are set at the device rather than at ingestion so late data lands in the right place, and the platform distinguishes a device that is offline from one that is reporting nothing. Treating connectivity as reliable is the single most common design error in field IoT.
Related
Where this usually connects
Tell us what you are building
One technical call is usually enough to tell you whether this is straightforward, genuinely hard, or the wrong approach entirely. We would rather say so early than quote for the wrong thing.
Start the conversation