- IoT Development

Connect
every
device.

End-to-end IoT engineering - firmware, edge compute, cloud platforms, and dashboards. We connect your physical world to software that acts on it in real time.

1M+

Msgs/sec capacity

<10ms

Edge latency

40%

Downtime reduction

1,248 devices live

IoT Network Topology

Edge Devices

Sensor A

Camera

Actuator

GPS Tag

HVAC Unit

↓ MQTT / CoAP

Edge Gateway

Protocol translation · Local processing · OTA updates

↓ TLS / HTTPS

Cloud IoT Platform

AWS IoT Core · Azure IoT Hub · Google Cloud IoT

↓ REST / WebSocket

Dashboard & Alerts

Real-time · Historical · Anomaly detection

- Architecture

Four-layer IoT stack

We engineer every layer - from the device to the dashboard - so nothing gets lost between systems.

The physical layer - sensors, cameras, actuators, RFID tags, and edge compute units. We select and certify hardware for your environment, handling everything from industrial-grade sensors to consumer devices.

  • ›Sensor selection & certification
  • ›Firmware development & OTA updates
  • ›Edge compute (NVIDIA Jetson, Raspberry Pi, custom)
  • ›Low-power design for battery-operated devices

01 ──────

End-to-End IoT Architecture

We design the full stack - from the firmware running on your device to the cloud platform ingesting millions of events per second. Every layer is designed to scale, secured with mTLS, and monitored with real-time dashboards.

  • ›Hardware selection & firmware development
  • ›Protocol design (MQTT, CoAP, AMQP)
  • ›Cloud platform setup & device provisioning
  • ›End-to-end encryption & certificate management

1M+

Device messages/sec handled

02 ──────

Edge Computing

When latency or connectivity constraints prevent sending everything to the cloud, edge compute brings the processing to the device. We deploy ML inference, data filtering, and local control loops at the edge.

  • ›Edge ML inference (TensorFlow Lite, ONNX)
  • ›Local decision-making & control loops
  • ›Intermittent connectivity handling & sync
  • ›OTA firmware update pipelines

<10ms

Edge inference latency

03 ──────

Predictive Maintenance

Turn sensor data into maintenance schedules before equipment fails. We build vibration analysis, temperature monitoring, and anomaly detection models trained on your machine's baseline behaviour.

  • ›Sensor data baseline modelling
  • ›Anomaly detection & threshold alerting
  • ›Failure prediction with confidence scores
  • ›Integration with CMMS & ERP systems

40%

Downtime reduction, typical

- Industries

IoT across every sector

Manufacturing

Machine monitoring, predictive maintenance, production tracking

Smart Buildings

HVAC, lighting, access control, energy optimisation

Agriculture

Soil sensors, irrigation control, livestock monitoring

Healthcare

Medical device telemetry, patient monitoring, asset tracking

Logistics

Fleet tracking, cold chain monitoring, warehouse automation

Energy

Smart metering, grid monitoring, renewable energy management

0+

IoT projects delivered

0M+

Device msgs/sec

0

Industries served

0%

Avg downtime reduction

- Start Your IoT Project

Your machines.
Your data.
In real time.

Tell us about your devices and your goals. We'll scope an IoT architecture and show you the fastest path from prototype to production.