Fabiano Benedetti, CEO of the company, tells us the story of beanTech and we understand that the company is ready to accept the new challenges related to digital transformation and Industry 4.0.

Who is beanTech?

beanTech is a computer reality that supports companies by offering 360-degree solutions ranging from data acquisition to IT architecture, from customized software developments to internal process management, from business analysis to the implementation of sophisticated artificial intelligence algorithms.

The company’s mission is to help manufacturing companies in the digitization process, offering end-to-end solutions through technologies such as AI, machine learning, cloud, data collection and analysis.

beanTech offers both solutions to optimize the process within the factory (MES, MOM, IoT, data collection from the factory) and solutions to innovate machinery and plants (predictive maintenance, monitoring, data analysis from a qualitative perspective).

beanTech reception

Why and when did you decide to join the IMPROVENET Network?

Fabiano tells us that everything started after a project meeting with Prof. Alessandro Beghi of the University of Padua. “The competitive advantage of joining IMPROVENET was immediately clear, as the activities promoted are completely in line with the ones achieved by the company,” he continues.

In addition, the willingness to join IMPROVENET is also linked to the interest of creating new networks and knowing better some regional realities, combining different skills both from the solution providers and from pilot cases.

“It is necessary to know new partners and promote open innovation exchange”

What is the role of beanTech within the VIR2EM Project?

beanTech is collaborating with the company SIPA, which designs and produces plants for the packaging chain (drinks, food, cosmetics), in order to create a digital system for their machines distributed around the world, of high added value based on

• Asset monitoring system

• Predictive maintenance

• Remote control of installations

The idea is to improve the performance of machinery (thanks to remote management and predictive maintenance) and to change the nature of the relationship between the supplier of the machine and the user, enhancing a proactive collaboration. The ability to react to problems and changes is a competence that must be provided by the manufacturer of digitized machines, which however enjoys a preferential channel in terms of consulting, training and spare parts. All this with a view to improve the service and the after-sales.

What benefits will beanTech receive from the project?

Without doubt, the project will strengthen relations with an important customer, offering an end-to-end technology. This project will be an excellent starting point for testing new technologies in a sector such as packaging.

Furthermore, through the project it will be possible to design and implement architectures for web and mobile applications, with a particular attention to data management and processing on AWS platform.

beanTech Academy

What are the main challenges that a SME can face in the digital transformation process?

“We are witnessing an increase of Industry 4.0 technologies, but the main difficulty is to bring value and use these technologies consciously,” Fabiano says. For this reason, beanTech thinks that training and customer involvement are at the basis of the digital transformation process of a company. For that reason, beanTech guides its customers in the strategic choices to be adopted through its Academy.

Fabiano Benedetti: CEO & President

Fabiano Benedetti is the CEO of beanTech, an IT company with over 160 employees and 15 million turnover, which supports companies in the challenges of Digital Transformation and helps them to achieve the opportunities of Industry 4.0


Galdi designs and manufactures complete food paper packaging solutions. The company is predominantly present in the international market, exporting over 80% of its turnover abroad and having subsidiaries in Russia, North Africa and the United States.

With over 800 machines installed around the world, Galdi supports its customers by offering them technology, training and technical assistance services to help them achieve maximum production efficiency.

Food safety is one of the greatest strengths of Galdi solutions, which package products such as milk, eggs, water, fruit juices but also dry products such as flour and cereals. The acquisition of Artema Pack S.r.l. has completed the possible packaging solutions that Galdi can offer, including the engineering and optimization service of the production line, also managing the subsequent stages of the process.

The Galdi Company

What are the expectations of joining IMPROVENET?

Antonella Candiotto, CEO and President of the company tells us the reasons that led the company to join the Network.

We immediately believed in the project of the Regional Innovative Networks as a tool to support industrial development policies in industry 4.0 of the territory. The commitment to build an ecosystem of partners to share innovative technological projects with, is strategic.

Thanks to IMPROVENET, it is possible to establish a continuous cooperation with the network partners, which are universities, research centers, manufacturing companies. All of them can contribute to accelerate the process of mutual learning, raising the level of skills and improving the quality of the solutions adopted. The sharing of experiences also serves to spread knowledge and create greater value for all, even for those who did not participate directly in the project”.

What innovations is GALDI implementing within the VIR2EM Project?

The project involves the implementation of some enabling technologies, in addition to those already used by the company, both to allow the “dematerialization of products and services” and to make accessible the information and digital models developed, regardless of their geographical location.

The expected outputs are:

1. the realization of a Digital Twin of own products through the virtualization of the Engineering;

2. the remote and virtualization of after-sales services, through the implementation of a new IIot architecture and multimedia platforms for remote support;

3. artificial intelligence, to increase the part of predictive maintenance and anomaly detection.

With which other RIR partners are you collaborating on the project?

In order to realize the innovations described above, Galdi is collaborating with Statwolf (for the part related to artificial intelligence) and with the University of Verona (for the realization of the Digital Twin).

How do you see the company at the end of the project?

Galdi has always focused on people and innovation, the continuous updating of skills and the attractiveness of the best talents are essential to maintain and develop the competitiveness of the company.

Furthermore, the respect for environmental resources and the constant dialogue with the territory are important priorities for the company that for years has invested in environmental and social sustainability projects.

With the Project VIR2EM Galdi aims to become a Smart Factory, implementing the transformation of the company from a place of physical spaces to a virtual one, in which software platforms, products, services, projects and people are connected in synergy through a digital flow of information.

In addition, the project will enable the company to achieve quality and speed in product development and an improved after-sales support service for customers.

Antonella Candiotto, CEO & President

A second-generation entrepreneur, she became President and CEO of the family business, Galdi, in 2020. Oriented to innovation and growth, of the company and of people. She is stimulated by team work and by involving the team to overcome its limits.


Statwolf Data Science is a company based in Padua, which works in the development of data-driven solutions and artificial intelligence for Industry 4.0.
The company was founded with the aim of bridging the gap between state-of-the-art methodologies in the field of machine learning and productive solutions.

The search for an ecosystem to fill the digital gap

Joining the Improvenet Network is in line with the search for an ideal ecosystem to carry out this mission.

This is possible through collaborations with the world of research, allowing the company to be constantly in touch with scientific innovation and through contacts with major industrial companies as well as solution providers, allowing Statwolf to develop and validate mutual interest solutions.

Statwolf is a partner of VIR2EM Project to develop advanced monitoring and prediction solutions in the Internet of Things (Iot) and Industrial IoT scenarios.

The collaboration with the industrial world in the project involves three major manufacturers of automatic machines in different fields:

  • Galdi for food packaging;
  • Sperotto Rimar for textile;
  • Zamperla SpA for the entertainment industry.
Data Science Statwolf

The solutions, developed alongside these industrial partners, have a double purpose:

Allowing manufacturers to provide a new interface usable by their customers to monitor the machines and their uses.

Ensuring that the machine manufacturers optimize thier own service operations, facilitating remote diagnostics, anticipating interventions and enabling analyses and comparisons between different machines.

The collaboration with the world of research involves instead the University of Padua for the development of anomaly detection and predictive maintenance approaches in the fog computing scenario.

An increased competitive advantage through RIR partnerships

From a technological point of view, Statwolf will develop new integrations with machines and tools and new Machine Learning features, expanding its technological offer.

In addition, thanks to the ongoing collaborations, Statwolf will have functionality and verticalizations in its platform for sectors such as textiles and the entertainment industry that are new to the company.

Gian Antonio Susto

Gian Antonio Susto, co-founder of Statwolf and researcher at the Department of Information Engineering of the University of Padua.

Gian Antonio deals with Machine Learning and Artificial Intelligence, developing innovative algorithms and methods and solutions for different industrial environments. Gian Antonio was one of the pioneers in developing predictive maintenance approaches through machine learning techniques. He is co-author of more than 100 scientific publications and patents, and has won four IEEE awards for contributions related to Artificial Intelligence applications in industry.