DataGeometry IIoT

A Strategic Shift to Digital Transformation


The industrial internet of things (IIoT) refers to the extension and use of the internet of things (IoT) in industrial sectors and applications. With a strong focus on machine-to-machine (M2M) communication, big data, and machine learning, the IIoT enables industries and enterprises to have better efficiency and reliability in their operations. The IIoT encompasses industrial applications i.e oil and gas, telecommunication and manufacturing plants. IIoT forms an ecosystem where people, applications and devices interact. 


Over the past few years, IoT has become one of the most prominent technologies of the 21st century. The availability of low cost computing, Cloud services, Analytic and mobile technologies, a hyperconnected digital world can record, monitor and adjust itself with minimal human intervention.


DG-IIOT is a technology solution focused not only on improving the performance of an asset, piece of machinery or an entire business process but also to being a key enabler of business digital transformation.  Among all markets, companies on a digital transformation journey are leveraging IoT solutions to seize the strategic and transformational opportunities. Our DG-IIoT identifies these needs and provides IoT integrational that offers: 


  • A key enabler of innovation and digital transformation
  • Foundation advanced analytic that will drive real time decision
  • Making data meaningful
  • Intelligent and interconnected input/output tools

Use Cases

The ability of DG-IIoT to provide sensor information as well as enable device-to-device communication is driving a broad set of applications. The following are some of the most popular applications and what they do.


Create new efficiencies in manufacturing through machine

monitoring and product-quality monitoring. Machines can be continuously monitored and analysed to make sure they are performing within required tolerances. Products can also be monitored in real time to identify and address quality defects.


.Drive efficiencies and new possibilities in existing processes.

 One example of this is the use of IoT to increase efficiency and safety in connected logistics for fleet management. Companies can use IoT fleet monitoring to direct trucks / monitoring system to monitor machine operational limits in real time, to improve efficiency and make informed decisions


Enable business process changes. 

An example of this is the use of IoT devices for connected assets to monitor the health of remote machines and trigger service calls for preventive maintenance. The ability to remotely monitor machines is also enabling new product-as-a-service business models, where customers no longer need to buy a product but instead pay for its usage.


Our Product


DG-IoT Platform is a fully managed service that allows you to easily and securely connect, manage, and collect data from dispersed connected devices. It provides a complete solution for collecting, processing, analysing, and visualizing IoT data in real time to support and improve operational efficiency.

Edge IoT

Edge Computing infrastructure plays a critical role  to optimize network deployment ensures that each connection of heterogeneous IoT device has access to computing capabilities everywhere with low latency and without significantly increasing the traffic of the core network.


Custom solutions that will suit your needs or readily available on-the-shelf solutions are accessible upon request.

Business Solutions


    1. Preliminary Studies

    The main objective of conducting a preliminary study is to get all of the stakeholders to be in one conducive environment to discuss all information, challenges and requirements together. Inputs given will shape how the system behaves, function and serve the right purpose aligned by the user. 

    2. Mobile Unit 

    Hardware Feasibility Study (HFS) is important before the development of a monitoring system being executed, especially when it involves hardware installation. Here, a mobile unit would be deployed to monitor the client’s asset which allows the system to address where and how it will operate. It can also identify potential obstacles that may impede its operations and recognize the amount of data it will need to get the system up and running.

    Asset Monitoring Module

    a. Flexible Integration

    Using technologies such as ThingsBoard and LoRaWAN, it supports industry standard IoT protocols such as MQTT, CoAP, and HTTP, at once enabling device connectivity for both on cloud and on-prem deployments

    b. Energy Savvy

    Enables up to 6-month battery lifetime for the asset monitoring modules and will be exchanged twice yearly for maintenance together with firmware updates.

    c. Executive Dashboard

    Built around DG-IIoT’s NOW Systems, it provides support for real-life data, protocols in an impressive all-in-one on-prem dashboard where the data collected can be visualized, reporting and analysed. 

    Asset Monitoring Module

    d. Long Range Communication

    Reliable communication from Zone 0 laser sensors to the on-prem servers 100m-500m away in instrumental rooms. 

    e. Customizable explosion proof device

    ATEX ExD explosion proof devices for Zone 0 and etc. are all customizable based on surrounding and environmental needs. 


    Asset Integration Analysis

    Data Analysis is considered one of the most important stages of the mentioned project. Data Analysis stage will focus on an evidence-based approach (Empirical) to study and interpret information gathered from primary and secondary sources.. The approach relies on sensor data, together with any additional data or parameters collected before, during and after activities performed during production.

    Case Studies

    Agile, Rapid and Proven

    What’s Next?

    Connect with Us

    Suites C-5-16, Metropolitan Square Commerce, Damansara Perdana, 47820, Petaling Jaya, Selangor, Malaysia

    +60 37625 3153

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