Digitalia

[Cards]_[Product]_[Digitalia]

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

[Paragraph Images]_[Project at a glance]_[1]

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.

[Paragraph Images]_[Project at a glance]_[2]

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:

[Paragraph Images]_[Objectives]_[1]

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.

[Paragraph Images]_[Objectives]_[2]

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.

[Paragraph Images]_[Objectives]_[3]

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 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 E-Tech ensures the overall coherence of the system and its replicability across other supply chains and production contexts.

TXT role

Partner

01

logo_unione europea

Unione Europea

02

logo_coesione italia

Coesione Italia

03

logo_ consiglio ministri

Consiglio dei Ministri

04

logo_regione lombardia

Regione Lombardia

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

GET IN TOUCH

Contact Us for Any Further Information.

TXT GROUP is committed to protecting and respecting your privacy, and we’ll only use your personal information to administer your account and to provide the products and services you requested from us.

For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.

From time to time, we would like to contact you about our products and services, as well as other content that may be of interest to you. If you consent to us contacting you for this purpose, please tick below to say how you would like us to contact you:

You can unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy.