Analytics – ML/AI – IoT

Machine Learning (ML). The empowerment of the next-gen enterprise.

By taking advantage of the power of machine learning-powered technology, Metontec can help you to improve your capabilities to better serve your customers, achieve your enterprise goals, and improve your bottom-line.

Machine learning is focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. In today’s competitive environment, industries are constantly looking for ways to improve efficiencies, reduce costs and enhance product quality.

Machine learning is continuing to transform entire industries and it will only continue to help technology companies enhance their processes, lower life-cycle costs, and mitigate security risks. Machine learning platforms are among enterprise technology’s most competitive realms, with most major vendors, including Microsoft, IBM and others, to sign customers up for platform services covering the spectrum of machine learning activities, including data collection, data classification, model building, training and application deployment.

The ML enhancements:

  • Increased Accuracy
  • Enhanced Consumer Insight
  • Reduced System Risks
  • Increased Capability
  • Minimization of Life Cycle Costs

The Artificial Intelligence Solution (AI)

Solution Description:
  • RDA system is a platform that acquires and manipulates data, which are produced in industrial units. Data is transformed into decision-making KPI’s and are presented to any user device (laptop, tablet, smartphone) through personalized reporting, securely, in real-time.
  • RDA system utilizes Microsoft Azure for storing and manipulating data, Microsoft IoT Hub and Streams Analytics for real-time data analytics and streaming and Microsoft Power BI Tools for creating and distributing personalized reporting and KPI’s to various levels of end-users.
  • RDAs facilitates intelligent algorithms that analyze trends and extracts useful information from historical data to propose efficient working scenarios.


Connectivity with factory equipment requires minimum local infrastructure and is achieved either by data providers directly connected to the control systems / SCADA




or by interfaces using the most common communication protocols:

Solution Benefits:

  • Improve factory efficiency and reduce costs:
    a) Reducing unplanned machine downtime through the provision of events/alerts and a calendar for proactive machine maintenance
    b) Detecting production issues in real-time
  • Customizable solution: Platform configuration based on customer-specific requirements
  • Improved customer experience: Access to personalized reports anywhere from any device and respond quickly

Elevate the way you Collaborate, Communicate, Share Information. Internet of Things (IoT). 

Modern workforces demand dynamic and personalized environments with intelligent workspaces that connect people, information and tools. Businesses adapting to IoT solutions can focus on their core tasks without spending most of their time in operational tasks and processes.

Increasingly, organizations are using IoT in a variety of ways for the delivery of enhanced customer service, improvement of decision-making and increasing of the business value. IoT can also make use of artificial intelligence (AI) and machine learning to aid in making data collecting processes easier and more dynamic.

We, at Metontec, can provide you with IoT solutions depending on your needs allowing you to share and manage content, enhance teamwork, find information quickly, and collaborate seamlessly.

Data Management. A Game Changer in your Business.

Data management is the first step towards handling the large volume of data, both structured and unstructured, to the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively.

Our goal is to provide the data management solutions and services to help businesses optimize the use of data so that they can make decisions and take actions that maximize the benefit to the organization. A robust data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value.