Industrial IoT

Industrial IoT refers to the application of IoT technologies and IoT software within the context of Industry 4.0, enabling the connection of industrial devices, sensors, and machinery to gather real-time data for improving efficiency and strategic decision-making.

industry 4.0

Industrial IoT, also known as IIoT, encompasses the integration of IoT technologies and software within Industry 4.0. It involves connecting industrial devices, sensors and machinery to enable real-time data collection and analysis, leading to improved operational efficiency and informed decision-making.

By leveraging IoT software, industrial systems can achieve advanced connectivity, automation and intelligent information capture. The Industrial IoT paradigm enables seamless communication, monitoring and control across various industrial processes, promoting an interconnected and digitised environment.

The convergence of IoT software and Industry 4.0 revolutionizes industries by enabling data-driven optimization, predictive maintenance and adaptive manufacturing, ultimately stimulating productivity and innovation.

Tips for digitizing and streamlining your business with Industrial IoT

Enable your factory to Industry 4.0

Visualize machine data in a single glance: with Zerynth’s Industrial IoT Platform you can connect any type of machinery and visualize the extracted data on a single dashboard. This will enable you to make strategic decisions by enhancing the efficiency of production processes and reducing electricity consumption.

Interconnect any type of machinery: old (legacy) and new generation (modern) machinery, production or auxiliary equipment, and even panelboards, and group them into a single overview. 

Maximum security in less than three hours: the Industrial IoT platform is plug-and-play and comes with pre-configured apps, while the IoT technology is microcontroller-based and integrated with Secure Element.

Use IoT applications according to your needs

Unified factory management 4.0: with pre-configured applications for production process optimization, the Zerynth Platform enables manufacturing companies to operate effectively and efficiently.

Reduce energy consumption: thanks to the Zerynth IoT hardware-software solution, you can reduce your energy consumption by up to 40% with significant results in terms of environmental and economic sustainability.

Minimize downtime: with predictive and conditional maintenance apps you can reduce maintenance costs up to 30%, predict breakdowns and failures, and reduce downtime by up to 70%.

Optimize your industrial production processes

Analyze production: by extracting timely data from your production machinery you can gain intelligent insights, accurately monitor product quality, reduce costs and enhance sustainability.

Gain complete visibility of your production processes: track work orders, immediately identify bottlenecks and allocate your resources effectively, thus improving delivery times.

Interconnect the platform with any IT system: if you have a BI, ERP, MES system in your company, you can easily integrate it with our IoT technologies and gain complete visibility of your entire factory.

Find out how Zerynth can help companies
with the Industrial IoT & AI Platform

A full stack hardware-software IoT and AI platform designed to connect any industrial product or machinery and get visibility across the entire factory in a unified way.


industry 4.0 manufacturing

In the context of Industry 4.0, the integration between Enterprise Resource Planning (ERP) and Manufacturing Execution System (MES) is becoming increasingly crucial. Adopting industrial IoT offers new opportunities to improve operational efficiency and optimize resources.

energy monitoring software

In recent years, the Italian manufacturing industry has witnessed a growing interest in industrial IoT, artificial intelligence, and Industry 4.0. Let’s explore these concepts together and discover how the Zerynth Platform empowers companies to optimize their production processes.


Industrial IoT technologies make it possible to identify the best strategies to achieve production efficiency, enabling companies to have complete visibility over their factory. How is this achieved?