Intelligent Infrastructure and Connected Systems
Internet of Things
End-to-end IoT engineering: device connectivity, secure messaging, cloud ingestion and the applications that make connected products and assets useful.
Overview
Connected products succeed or fail on unglamorous details: how a device authenticates, what happens when it loses coverage for a day, how a firmware update rolls back, and whether the data arriving in the cloud can be trusted. We engineer those details alongside the visible application layer.
Our teams design the full path, from device provisioning and MQTT or cellular messaging to cloud ingestion, storage and APIs, along with the dashboards, mobile apps and integrations that put connected data in front of operators, customers and service teams. Architecture choices stay vendor-aware without becoming vendor-bound.
Business applications
- 01
Connected product platforms
Give manufacturers of equipment, appliances or instruments a secure cloud backbone for their devices, with provisioning, telemetry, remote configuration and customer-facing applications built on a common data model.
- 02
Asset and environment monitoring
Track temperature, humidity, occupancy, energy use or location across buildings, warehouses and remote sites, with alert rules that route exceptions to the right team instead of flooding a shared inbox.
- 03
Cold-chain and condition tracking
Monitor perishable or sensitive goods in transit and storage, combining sensor readings with GNSS location so quality teams can see exactly when and where a shipment drifted out of range.
- 04
Smart building and campus systems
Integrate metering, HVAC, access and environmental sensors into one operational view, using LoRaWAN or NB-IoT where wiring is impractical and open APIs for facilities and sustainability reporting.
Engineering approach
- 01
Define the use case and data contract
We start with the decisions the system must support, then specify the signals, sampling rates, payload schemas and quality thresholds those decisions depend on.
- 02
Choose the connectivity and hardware path
Wi-Fi, LTE-M, NB-IoT, LoRaWAN and wired options are weighed against coverage, power budget, data volume and total cost, and hardware candidates are validated on the bench.
- 03
Engineer secure device identity
Each device receives a unique X.509 identity, least-privilege topic permissions and an update path for credentials and firmware, so a single compromised unit cannot expose the wider fleet.
- 04
Build ingestion, storage and APIs
Telemetry flows through a managed broker into stream processing and time-series storage, exposed through versioned APIs that applications, analytics and partner systems can consume independently.
- 05
Pilot, observe and scale
A limited field deployment surfaces what lab testing misses, such as coverage gaps, battery drain and clock drift. We resolve those issues before expanding device counts and sites.
Technologies and platforms
Device connectivity
- MQTT
- LoRaWAN
- NB-IoT / LTE-M
- Bluetooth Low Energy
- Wi-Fi
- GNSS/GPS
Cloud IoT services
- AWS IoT Core
- Azure IoT Hub
- AWS IoT Greengrass
- Azure IoT Edge
- EMQX
Data and streaming
- Apache Kafka
- TimescaleDB
- InfluxDB
- PostgreSQL
- Node-RED
Applications and observability
- Grafana
- React
- React Native
- OpenTelemetry
Technology names are trademarks of their respective owners and do not imply partnership or endorsement.
What you receive
- IoT reference architecture covering device, connectivity, cloud and application layers
- Device provisioning and identity management workflow
- Telemetry schema and MQTT topic namespace specification
- Ingestion pipeline with time-series storage and retention policies
- Operator dashboard and alerting configuration
- Field pilot report with findings and scale-out recommendations
Questions leaders ask
Do you design hardware or only software?
Our core strength is software across the stack: firmware integration, connectivity, cloud and applications. For custom hardware, we work with your chosen electronics partner or help evaluate off-the-shelf gateways and sensor modules, and we define the interface contract between hardware and software so both sides can build in parallel.
Will we be locked into a single cloud provider?
Not by default. We use open protocols such as MQTT and keep device payloads and business logic portable. Managed services like AWS IoT Core or Azure IoT Hub are often the pragmatic choice, but we isolate provider-specific code so a later move is a project rather than a rewrite.
How do you handle devices with intermittent connectivity?
We design for disconnection from the start. Devices or gateways buffer timestamped readings locally, use MQTT persistent sessions and appropriate quality-of-service levels, and reconcile on reconnect. The cloud side accepts late and out-of-order data so that dashboards and analytics remain consistent.
Related solutions
Related industries
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