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PURPOSE
The DigItaliA project – Applications of Artificial Intelligence for the study and development of an advanced digital platform for the resilience of agro-food and pharmaceutical industrial supply chains – is a research and development initiative born within an industrial and economic context marked by strong pressure toward advanced digitalisation of production chains, particularly in the agri-food and pharmaceutical sectors, which are considered strategic for both the European and Lombardy economies.
Despite the growing adoption of Artificial Intelligence (AI), Europe still lags significantly behind the United States and China in terms of investment, industrial uptake, and technological development. This gap risks undermining the competitiveness of manufacturing companies, especially SMEs, which face increasingly complex challenges such as:
• rising quality, safety, and traceability requirements;
• the need for greater resilience and flexibility in supply chains;
• optimisation of resource usage and waste reduction;
• difficulties in knowledge transfer and generational turnover.
Within this scenario, DigItaliA addresses the need for integrated, scalable, and data-driven digital solutions capable of supporting more informed operational decisions and fostering a concrete transition toward Industry 5.0 paradigms, centred on human–machine collaboration.
PURPOSE
The DigItaliA project – Applications of Artificial Intelligence for the study and development of an advanced digital platform for the resilience of agro-food and pharmaceutical industrial supply chains – is a research and development initiative born within an industrial and economic context marked by strong pressure toward advanced digitalisation of production chains, particularly in the agri-food and pharmaceutical sectors, which are considered strategic for both the European and Lombardy economies.
Despite the growing adoption of Artificial Intelligence (AI), Europe still lags significantly behind the United States and China in terms of investment, industrial uptake, and technological development. This gap risks undermining the competitiveness of manufacturing companies, especially SMEs, which face increasingly complex challenges such as:
• rising quality, safety, and traceability requirements;
• the need for greater resilience and flexibility in supply chains;
• optimisation of resource usage and waste reduction;
• difficulties in knowledge transfer and generational turnover.
Within this scenario, DigItaliA addresses the need for integrated, scalable, and data-driven digital solutions capable of supporting more informed operational decisions and fostering a concrete transition toward Industry 5.0 paradigms, centred on human–machine collaboration.
PROJECT AT A GLANCE
The DigItaliA project – funded under Axis 6 of the PR FESR 2021–2027 of the Lombardy Region through the “Strategic Technologies – STEP” call – aims to design, develop, and validate an integrated technological platform based on:
• Artificial Intelligence (predictive, prescriptive, and generative);
• advanced sensing technologies (including e-nose sensors);
• computer vision and deep learning;
• interoperable, EDGE-oriented digital architectures.
The platform will be validated through two real-world use cases:
1. the dairy supply chain, with a focus on sensory quality, food safety, and decision support;
2. the pharmaceutical supply chain, with particular attention to visual inspection processes and sterile fill-finish plants.
The project will run from December 2025 to May 2028 and includes activities related to supply chain analysis, architectural design, technological development, experimentation, and industrial validation.
PROJECT AT A GLANCE
The DigItaliA project – funded under Axis 6 of the PR FESR 2021–2027 of the Lombardy Region through the “Strategic Technologies – STEP” call – aims to design, develop, and validate an integrated technological platform based on:
• artificial intelligence (predictive, prescriptive, and generative);
• advanced sensing technologies (including e-nose sensors);
• computer vision and deep learning;
• interoperable, EDGE-oriented digital architectures.
The platform will be validated through two real-world use cases:
1. the dairy supply chain, with a focus on sensory quality, food safety, and decision support;
2. the pharmaceutical supply chain, with particular attention to visual inspection processes and sterile fill-finish plants.
The project will run from December 2025 to May 2028 and includes activities related to supply chain analysis, architectural design, technological development, experimentation, and industrial validation.
OBJECTIVES
The objectives of DigItaliA are structured across multiple levels:
OBJECTIVES
The objectives of DigItaliA are structured across multiple levels:
GENERAL OBJECTIVES
• Strengthen the competitiveness and sustainability of strategic industrial supply chains.
• Promote the adoption of industrial AI in real production environments.
• Foster technological autonomy and the replicability of the developed solutions.
TECHNOLOGICAL OBJECTIVES
• Design a scalable, interoperable, and secure IT architecture for process data collection and processing.
• Develop intelligent monitoring systems based on advanced sensors and computer vision.
• Implement generative AI modules and Decision Support Systems (DSS) to support operational decision-making.
• Integrate AI, sensing technologies, and IoT for real-time monitoring and process optimisation.
APPLICATION OBJECTIVES
• Improve product quality, safety, and traceability.
• Reduce waste, errors, and production costs.
• Support operators in complex decision-making processes and knowledge transfer.
GENERAL OBJECTIVES
• Strengthen the competitiveness and sustainability of strategic industrial supply chains.
• Promote the adoption of industrial AI in real production environments.
• Foster technological autonomy and the replicability of the developed solutions.
TECHNOLOGICAL OBJECTIVES
• Design a scalable, interoperable, and secure IT architecture for process data collection and processing.
• Develop intelligent monitoring systems based on advanced sensors and computer vision.
• Implement generative AI modules and Decision Support Systems (DSS) to support operational decision-making.
• Integrate AI, sensing technologies, and IoT for real-time monitoring and process optimisation.
APPLICATION OBJECTIVES
• Improve product quality, safety, and traceability.
• Reduce waste, errors, and production costs.
• Support operators in complex decision-making processes and knowledge transfer.
TXT ROLE
TXT E-tech Srl plays a central role in the DigItaliA project as the reference technology partner for digital architecture and system integration.
Specifically, TXT is responsible for:
• analysing AS-IS processes and defining TO-BE processes for the reference supply chains;
• designing the architecture for process parameter monitoring, ensuring interoperability among heterogeneous systems;
• developing and integrating the industrial digital platform, enabling real-time data flow management;
• supporting the design of the application architecture based on AI, DSS, and Agentic AI;
• validating the solutions within real industrial environments.
Thanks to its experience in industrial digitalisation, TXT ensures the overall coherence of the system and its replicability across other supply chains and production contexts.
TXT ROLE
TXT E-tech Srl plays a central role in the DigItaliA project as the reference technology partner for digital architecture and system integration.
Specifically, TXT is responsible for:
• analysing AS-IS processes and defining TO-BE processes for the reference supply chains;
• designing the architecture for process parameter monitoring, ensuring interoperability among heterogeneous systems;
• developing and integrating the industrial digital platform, enabling real-time data flow management;
• supporting the design of the application architecture based on AI, DSS, and Agentic AI;
• validating the solutions within real industrial environments.
Thanks to its experience in industrial digitalisation, TXT ensures the overall coherence of the system and its replicability across other supply chains and production contexts.
IL PARTNER
PROJECT KEY INFORMATION
Project number (CUP): E29J25002650004
Funding entity: PR FESR 2021-2027 Regione Lombardia, Bando “Tecnologie Strategiche - STEP”
Project duration: 30 months
Start date: December 2025
End date: May 2028
Project budget: € 5.476.658,40
PROJECT KEY INFORMATION
Project number: E29J25002650004
Funding entity: PR FESR 2021-2027 Regione Lombardia, Bando “Tecnologie Strategiche - STEP”
Project duration: 30 months
Start date: December 2025
End date: May 2028
Project budget: € 5.476.658,40
Contact us for more information
Contact us for more information