IoT Development
From the device to the decision
Fleets fail in the field, not the lab. We build firmware, ingestion and operator tooling with intermittent connectivity, constrained hardware and remote update assumed from the start.
Capabilities
What this actually includes
The concrete pieces of work, so you can tell what you are buying rather than inferring it.
Embedded firmware
Constrained-device software with power budgets, watchdogs and offline buffering designed in rather than patched on.
Connectivity
MQTT, LoRaWAN, cellular and BLE chosen for the actual deployment environment and its coverage realities.
Telemetry ingestion
High-volume time-series ingestion with backpressure, deduplication and late-arrival handling.
Fleet management
Provisioning, staged over-the-air updates with automatic rollback, and per-device health visibility.
Edge processing
On-device filtering and inference so you transmit decisions rather than raw noise, which cuts both bandwidth and cost.
Operator interfaces
Dashboards and alerting designed for the people on the ground, tested in the conditions they actually work in.
How we work
The sequence we follow
Define the physical constraints
Power, connectivity, environment and unit cost, established before architecture rather than discovered during it.
Prototype on real hardware
Early builds on the target device, because emulators do not reproduce the failures that matter.
Build the pipeline
Ingestion, storage and processing sized for the fleet at its planned scale, not its pilot scale.
Field trial
A limited deployment in genuine conditions, instrumented so failures are diagnosable remotely.
Scale the fleet
Staged rollout with OTA update paths, health monitoring and a rehearsed recovery procedure.
Outcomes
What good looks like
Illustrative targets from engagements of this shape. Yours get agreed up front and measured.
0.0%
successful over-the-air update rate
0%
reduction in transmitted volume via edge filtering
0 yrs
battery life target met on constrained sensors
Toolkit
What we build with
Chosen per engagement against your constraints — never a house stack applied regardless of fit.
Embedded
- C
- Rust
- Zephyr
- FreeRTOS
- ESP-IDF
Connectivity
- MQTT
- LoRaWAN
- NB-IoT
- BLE
- Cellular
Ingestion
- Kafka
- TimescaleDB
- InfluxDB
- AWS IoT Core
Fleet
- OTA pipelines
- Device registries
- Remote diagnostics
Questions
Things clients ask first
Yes. We will flag early if a chosen component makes a requirement unreachable — power budget and connectivity are the usual culprits — but we work within hardware decisions that are already made.
Keep exploring
Related capabilities
Tell us what you are trying to build
A short call with an engineer, not a sales team. If we are not the right fit we will say so and point you somewhere better.