Industry en
Smart Solutions for
Contemporary Industry
Contemporary
Industry
Monitoring of energy, water and gas consumption at both asset and aggregated level.
Transform maintenance from reactive to predictive with AI-based insights.
Complete transparency on all resources and a deep understanding of industrial production processes.
Upgrade plants to become more efficient without invasive procedures.
Hardware e software.
An embedded ecosystem.
Where innovation being real
Complex production processes and the need for constant monitoring.
- Optimization of production flows and machine management
- Real-time quality control and monitoring
- Energy and resource management across industrial lines
- Operational safety and predictive maintenance
Complex processes and stringent regulatory requirements.
- Continuous monitoring of critical parameters: temperature, pressure, flow and chemical composition
- Real-time quality control: batch analysis and anomaly detection
- Safety management: prevention of uncontrolled reactions and risk mitigation
- Regulatory compliance: automation of EHS documentation and safety data management
Warehouse management and traceability of complex flows.
- Smart warehouse and inventory management
- Full traceability of products and shipments
- Optimization of operational flows and delivery times
- Monitoring of energy and logistical resources
Complex production processes and high standards of quality and safety.
- Continuous monitoring of production processes
- Real-time quality control on batches and raw materials
- Food safety management and compliance
- Food safety management and compliance
Towards a digitalized industry.
Upgrade existing lines with sensors, gateways and artificial intelligence to extract operational insights from energy consumption. The system also recognizes process phases and patterns, enabling detailed KPI analysis and supporting a more efficient and sustainable production.
How It Works
Enable machines to communicate with each other and with IT systems for centralized, coordinated management.
IoT sensors capture operational data from interconnected machinery in real time.
All collected data is systematically archived for historical analysis and trend monitoring.
Data is processed with machine learning algorithms and advanced analytics.
The knowledge generated empowers informed decisions, predictive maintenance, improved quality, and optimized operations.
Revamping e Retrofit.
Towards digitalized Industry
Upgrade existing production lines with sensors, gateways, and artificial intelligence to extract operational insights from energy consumption.
The system identifies process stages and patterns, enabling detailed KPI analysis and driving more efficient, sustainable production.
How It Works
Enable machines to communicate with each other and with IT systems for centralized, coordinated management.
IoT sensors capture operational data from interconnected machinery in real time.
All collected data is systematically archived for historical analysis and trend monitoring.
Data is processed with machine learning algorithms and advanced analytics.
The knowledge generated empowers informed decisions, predictive maintenance, improved quality, and optimized operations.
Traceability of the production cycle
and company assets.
Track products and components in real time throughout the entire line.
Monitor position and activity to ensure compliance and quality.
Control item location and status, optimizing inventory and handling.
Detect temperature, humidity and pressure to protect product quality.
Quickly intervene in case of environmental anomalies or production delays.
Monitor asset location and conditions for predictive maintenance and safety.
Recognize, Classify and Manage Energy Consumption in Industrial Plants
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