IoT Solutions

Connect your devices, machines and sensors to real-time dashboards and intelligent automation.

What We Deliver

We design the full chain — from sensors and gateways to cloud platforms and dashboards — so you can monitor assets remotely, react to alerts instantly and predict failures before they stop production.

IoT solutions: devices and sensors connected to the cloud
  • Device connectivity & protocols
  • Real-time monitoring dashboards
  • Sensor integration & data collection
  • Edge computing solutions
  • Predictive maintenance
  • Alerts via SMS, WhatsApp and email
  • Energy, temperature and fleet tracking
  • Integration with ERP and AI analytics

Why Build It With Dcodz

See everything live

One dashboard for every site, machine and sensor, on desktop and mobile.

Prevent downtime

Anomaly detection and predictive models flag problems before they become failures.

Cut operating costs

Energy and resource usage tracked and automated per site and shift.

Secure at every layer

Encrypted device identities, segmented networks and audited cloud access.

How We Work

Assessment

What to measure, where, and what decisions the data should drive.

Pilot

A small number of devices connected end-to-end to prove value quickly.

Roll-out

Scaling to all sites with device management, dashboards and alerts.

Optimize

Analytics and automation rules refined as real data comes in.

Technologies We Use

  • MQTT
  • LoRaWAN
  • ESP32
  • Raspberry Pi
  • AWS IoT
  • Azure IoT Hub
  • Node-RED
  • InfluxDB
  • Grafana

IoT solutions from sensor to dashboard

Internet of Things projects connect physical things, machines, vehicles, rooms, tanks and equipment, to software that watches them, alerts the right person and, where it is safe, acts automatically. The value is in the decisions you can make once you can see what is happening in real time.

We deliver the whole chain: selecting and integrating devices and sensors, the connectivity, the cloud or on-premise platform that stores and processes the data, and the dashboards and mobile apps people use every day.

Typical applications

  • Facilities: energy and water monitoring, temperature and humidity in cold rooms, access and occupancy.
  • Industry: machine status, downtime and predictive maintenance alerts from production equipment.
  • Fleet and assets: location, utilisation and condition of vehicles and equipment.
  • Agriculture: soil, irrigation and climate monitoring with automated control.
  • Smart buildings: lighting, climate and security integrated into one control panel.

Architecture that lasts

We use standard protocols and well-supported platforms so your devices are not locked to a single vendor. Data is collected reliably even when connectivity drops, stored with clear retention rules, and exposed through APIs so it can feed your ERP, BI tools or AI automations.

Security and reliability

Every device is authenticated, every message is encrypted, and firmware can be updated remotely. Alerts are designed so the right person is notified through the right channel, and so that a flood of events never hides the one that matters.

Starting small

Most successful IoT programmes begin with one site or one process, prove the value, and then scale. We structure projects the same way: a pilot with real hardware, then a rollout plan based on what the pilot showed.

Frequently Asked Questions

We specify and source sensors and gateways, or integrate the equipment you already have.

Yes. Edge devices buffer data locally and sync when the connection returns, so nothing is lost.

Yes — readings and alerts can create maintenance orders, stock moves or reports in Odoo automatically.

A small number of devices on one site or process, a dashboard for the people who will use it, and an agreed set of questions the pilot must answer before any wider rollout.

Often yes. Many machines expose data through standard industrial interfaces; where they do not, external sensors can capture the signals that matter.

On a cloud platform or on servers you control, depending on your requirements for latency, privacy and cost.

Yes. Readings can trigger automated actions and feed analytics or AI models, for example predicting maintenance needs or optimising energy use.

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