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Technologies and processes for the development of your company

We have experience with various solutions and methodologies. Discover the ones that best suit your needs.

AI for quality control
Artificial Intelligence

AI for quality control

Artificial Intelligence can be applied for quality control, identifying defects in products through computer vision and machine learning, reducing waste and rework.

AI  for predictive maintenance
Artificial Intelligence

AI for predictive maintenance

Artificial Intelligence can be applied for predictive maintenance, using IoT and data analysis to anticipate failures and reduce downtime.

AI for automation driving
Artificial Intelligence

AI for automation driving

Artificial Intelligence can be applied to autonomous driving, optimizing industrial material handling with robots and autonomous vehicles equipped with advanced sensors.

AI for data analysis
Artificial Intelligence

AI for data analysis

Artificial Intelligence can be applied to data analysis, transforming big data into strategic insights for the supply chain and production.

AI for operator assistance
Artificial Intelligence

AI for operator assistance

Artificial Intelligence can be applied for operator assistance, through chatbots and virtual assistants, providing real-time support and enhancing productivity.

Digital twin
Product and process development

Digital twin

The digital twin is a virtual replica of a physical system, using artificial intelligence and IoT to faithfully reproduce the behavior of its real counterpart.

Virtual Design
Product and process development

Virtual Design

Through digital tools and 3D models, Virtual Design allows for the visualization and optimization of every stage of product development before physical production.

Virtual commissioning
Product and process development

Virtual commissioning

Virtual Commissioning allows for the digital testing of a plant or machine’s operation before its physical implementation, optimizing development time and costs.

Digital Backbone
Connected infrastructure

Digital Backbone

The Digital Backbone is an advanced digital infrastructure that connects machinery, IT systems, and analytics platforms to optimize management and productivity.

5G
Connected infrastructure

5G

5G enables ultra-fast, low-latency connectivity for Industry 4.0, enhancing automation, real-time monitoring, and communication between machinery.

Hybrid cloud
Connected infrastructure

Hybrid cloud

Thanks to Hybrid Cloud, companies can distribute workloads between local and remote clouds, improving flexibility, security, and data accessibility.

Big Data Analytics
Connected infrastructure

Big Data Analytics

Big Data Analytics enables the collection, processing, and analysis of vast amounts of industrial data, enhancing productivity and operational efficiency.

Industrial Cybersecurity
Connected infrastructure

Industrial Cybersecurity

Industrial Cybersecurity protects production plants and control systems (ICS) from cyber threats, ensuring operational security and production continuity.

IoT - Smart Connected Product
Intelligent Product and Process

IoT – Smart Connected Product

Smart Connected Products use IoT technologies to collect and analyze real-time data, enhancing management and operational efficiency.

Monitoring and Control
Intelligent Product and Process

Monitoring and Control

Intelligent monitoring enables real-time data collection from production processes, optimizing efficiency and reducing waste through advanced analytics systems.

Servitization
Intelligent Product and Process

Servitization

Servitization transforms the product into a service, enabling Product-as-a-Service (PaaS) models to offer added value and optimize production processes.

Logistics 4.0
Logistics

Logistics 4.0

Thanks to Logistics 4.0, it is possible to digitally integrate supply chain, warehouses, and production, ensuring efficiency and waste reduction.

Lean Production
Logistics

Lean Production

Lean Production (Lean 4.0) integrates digital technologies with Lean Manufacturing principles, reducing waste and optimizing production processes.

Predictive Maintenance
Maintanance Smart

Predictive Maintenance

Predictive Maintenance uses IoT sensors and Machine Learning algorithms to predict failures and optimize plant management.

Maintenance AR
Maintanance Smart

Maintenance AR

AR Maintenance uses augmented reality and smart glasses to provide remote assistance and digital instructions to operators, improving efficiency and safety.

Maintenace Planning
Maintanance Smart

Maintenace Planning

Thanks to smart maintenance, companies can schedule interventions based on data collected from IoT sensors, ensuring greater operational efficiency.

Collaborative Robotics
Smart Production

Collaborative Robotics

Collaborative Robotics enables safe interaction between humans and machines, improving production efficiency and reducing repetitive and tiring tasks.

Addictive Manifacturing
Smart Production

Addictive Manifacturing

Thanks to Additive Manufacturing, it is possible to create innovative products by optimizing weight, performance, and reducing material consumption.

Monitoring  and  control
Smart Production

Monitoring and control

Smart monitoring of industrial processes uses advanced sensors and real-time data analytics to optimize production and reduce inefficiencies.

Efficiency and energy monitoring
Smart Production

Efficiency and energy monitoring

Thanks to smart energy monitoring, companies can visualize consumption, identify inefficiencies, and optimize energy management through intelligent dashboards.

Operator assistance systems
Smart Production

Operator assistance systems

Operator assistance systems integrate technologies such as augmented reality, exoskeletons, and collaborative robots to improve safety and productivity.

Digital twin process
Smart Production

Digital twin process

The digital twin process simulates the factory’s behavior, predicting performance, identifying bottlenecks, and optimizing costs and productivity.

Quality 4.0
Quality

Quality 4.0

Quality 4.0 integrates advanced technologies such as computer vision and artificial intelligence for real-time monitoring of production processes.

Product traceability
Quality

Product traceability

Thanks to advanced 4.0 serialization systems, each product can be digitally identified and monitored to improve quality and safety.

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