Advanced technologies for secure and efficient industrial communication
Find out more about how we work and the experience we have gained.
The Digital Backbone is a scalable and secure technological architecture that supports the digital transformation of companies. Its main function is to connect production systems, ERP, MES, and industrial sensors, enabling smooth integration between the different levels of the IT infrastructure. Thanks to advanced connectivity and real-time analytics, it allows for the optimization of quality, product traceability, and predictive maintenance. In manufacturing, the Digital Backbone facilitates the automated management of warehouses, production lines, and collaborative robots, ensuring greater efficiency and flexibility.
The integration of 5G networks into industrial processes enables advanced digitalization of smart factories. Thanks to its low latency and the ability to connect a large number of devices simultaneously, 5G allows for optimized supply chain management and real-time monitoring of operations. This technology supports Machine Learning and Artificial Intelligence applied to production, enhancing predictive capabilities and reducing plant downtime. Additionally, it facilitates remote maintenance and operator support through augmented and virtual reality devices.
Hybrid Cloud represents an advanced IT architecture that integrates edge computing solutions with public and private cloud infrastructures. This combination allows companies to process data close to machinery (edge computing) to reduce latency and network traffic, then sending only the necessary information to the cloud for deeper analysis. This model ensures greater security and resilience, reducing dependence on a single infrastructure. In Industry 4.0, Hybrid Cloud is essential for predictive analytics, remote monitoring, and intelligent management of production processes.
Big Data Analytics is the process of collecting and analyzing large volumes of data to extract valuable insights that improve decision-making and production efficiency. In the Industry 4.0, this technology enables real-time monitoring of production, identifying patterns in data, and predicting failures through machine learning models. The ability to manage data from various sources, including IoT sensors, simulation software, and industrial machinery, allows for advanced control of the supply chain and predictive maintenance.
The brake assembly line emulates a production area and generates data to optimize the plant with Big Data Analytics.
Industrial Cybersecurity is essential for protecting plants, data, and production processes from cyberattacks. With the advent of Industry 4.0, the increasing interconnection between Operational Technology (OT) and Information Technology (IT) has heightened the risk of digital threats. ICS (Industrial Control Systems) can be vulnerable to both external and internal intrusions, putting production at risk. The adoption of solutions such as industrial firewalls, advanced encryption, network segmentation, and real-time monitoring helps prevent attacks and ensure operational security.
The robot cell verifies product quality and simulates cyber attacks to test industrial cybersecurity.
The Industrial Engine simulates a production area to test cybersecurity in quality control.
