Device Connectivity
Communication layers suited to constrained devices and unreliable networks.
Industries / IoT
IoT
Connected hardware carries constraints software teams rarely face. Devices lose connectivity, run on constrained power budgets, ship firmware that's hard to update, and live in the field for years.
We build device connectivity layers, telemetry pipelines, fleet management systems, and companion apps for products where the software has to accommodate physical reality.
“What happens when the device loses connectivity?”
It should keep working. Local autonomy with buffered telemetry and reconciliation on reconnect is the baseline. Products that depend on a live connection fail in exactly the conditions they'll actually meet.
How the work runs
1
Device Connectivity
Communication layers suited to constrained devices and unreliable…
2
Telemetry & Data Pipelines
Ingestion and storage designed for continuous device data…
3
Fleet Management
Device registry, grouping, health monitoring, and staged over-the-air firmware updates with rollback — because a bad update…
4
Companion Applications
Mobile and web apps for setup, control, and monitoring — designed to handle offline devices and stale state gracefully rather…
What we deliver
Connected hardware carries constraints software teams rarely face. Devices lose connectivity, run on constrained power budgets, ship firmware that's hard to…
Telemetry & Data Pipelines
Ingestion and storage designed for continuous device data volumes.
Fleet Management
Device registry, grouping, health monitoring, and staged over-the-air firmware updates with rollback — because a bad update pushed to a whole fleet is close to unrecoverable.
Companion Applications
Mobile and web apps for setup, control, and monitoring — designed to handle offline devices and stale state gracefully rather than showing spinners forever.
Connectivity and data stack
Constrained devices and unreliable networks shape every technology choice in IoT.
Protocols
MQTT
CoAP
BLE
LoRaWAN
Platforms
AWS IoT Core
Azure IoT Hub
Custom MQTT
Data
TimescaleDB
InfluxDB
Kafka
Apps
React Native
Swift
Kotlin
Frequently
Asked
Questions
AWS IoT Core, Azure IoT Hub, and Google Cloud IoT, as well as custom MQTT infrastructure when managed platforms don't fit the cost or control requirements.
We focus on the connectivity layer, cloud platform, and applications, and collaborate closely with firmware teams. For embedded work we partner with specialists.
Certificate-based provisioning with a manufacturing-time identity injection process, plus a user-facing onboarding flow simple enough for non-technical customers.
Edge aggregation reduces what gets transmitted, and time-series databases with tiered retention handle what arrives. Raw high-frequency data rarely needs indefinite retention.
Per-device certificates, mutual TLS, signed firmware, least-privilege cloud permissions, and network segmentation. We assume physical device access is possible.
Yes, provided the device exposes a usable interface. We start by assessing existing protocols and constraints before proposing an architecture.
Hardware changes the rules
Connected products can't assume reliable networks, cheap bandwidth, or easy updates. Designing around those constraints from the start is what separates IoT platforms that scale from ones that struggle in the…
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