Anticipate failures and reduce downtime.

Do predictive maintenance with PERPETUO.

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"I can say that my father and I represent a happy case of generational transition and continuity. With a continuous confrontation both on the company's consolidation and on Gefond's new projects, such as Perpetuo".
"My daughter Tiziana has brought innovative ideas and a new vision to the sector. Predictive Maintenance with Perpetuo software is an example of this. It not only addresses the foundry world, but can be applied to any machine anywhere in the world."
Tiziana Tronci & Pierluigi Tronci

PERPETUO is the intuitive and easy-to-use artificial intelligence software for predictive maintenance, the only one able to dialogue with any machine and peripheral device in the diecasting industry, and beyond, anywhere in the world.

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How does PERPETUO work?

Leveraging Artificial Intelligence models to identify abnormal behaviour, PERPETUO transforms data collected from sensors installed on equipment or machine PLCs into useful information for predictive maintenance of mechanical, electrical, hydraulic and pneumatic parts subject to wear and tear or failure.
Cloud computing ensures the secure storage of big data collected from machinery.
The software uses sophisticated mathematical algorithms, which analyse the data and calculate the risk of failure of a given component. The system sends an alert warning of the criticality before the failure occurs. Visualisation dashboards complete the operating system.

PERPETUO at the service of companies

How can industrial artificial intelligence help companies reduce scraps, increase productivity and be more environmentally sustainable at the same time?
Predictive maintenance is an intelligent maintenance that can predict what will happen in the future, considering the current state of machinery. A predictive business approach saves costs, improves profitability, offers better service levels for customer satisfaction, improves safety and environmental performance.

Let your machines talk with PERPETUO

Find out how to take care of your machines and optimise your production process. We are available for a preliminary analysis, contact us.


Taking care of machinery, not just owning it, that is our mission.

We are satisfied with the results so far and the solutions that Gefond has been able to propose and implement to turn a problem into an opportunity. We are monitoring diecasting machines and trimming pressess from different manufacturers. In particular, we have focused on hydraulic closure failures, with the aim of connecting all the machinary in the factory in the coming months. The choice of PERPETUO allows us to make that now necessary transition to Industry 4.0, to anticipate failures and to run our company as a capable and digitised reality. We are confident that our customers will appreciate our drive for continuous improvement.
We have chosen to entrust PERPETUO with predictive maintenance on the tool machining equipment in all our plants. Thanks to predictive maintenance, we want to better manage machine maintenance and anticipate problems in order to reduce downtime and optimise spare parts management.
I am happy that a system like PERPETUO was born. The new generations approaching factory work enter the company after their studies. While they acquire managerial skills and theoretical competences, they do not have the time to get to know the folds and twists of operational work. I was already hanging around the factory at the age of six, I breathed the air. My son is now starting to experience in the field at the age of 18 what it means to work in a foundry. Today, thanks to new technological frontiers, we can make sure that this gap is overcome. It is the machines that talk to us and help us make the right decisions.


We create more value for your customers and a real competitive advantage for your business by enhancing the predictive power of data.

After 2 years of evaluation and beta-testing on the trimming presses of three major foundries, the innovative project to integrate the PERPETUO Predictive Maintenance software developed by Gefond is finally a reality. The results, as verified during testing, are remarkable and exceed expectations. Failures in the cooling system of the hydraulic circuit have been reduced by 75% and valve and pump failures due to overheating by 50%. In addition to the sensors already installed on our trimming presses, we have decided to go even further, with new sensors that will not only help us with predictive maintenance but will also allow us to gain insight into the behaviour of our machines over time. PERPETUO will not only serve our customers but will also help us in continuous improvement and component optimisation.
The collaboration between Wollin and Gefond is a historic one. It began in 1998 when Gefond became the exclusive representative for Italy of Wollin spraying machines and over the time became one of the world's leading distributor for number of systems sold. The next step forward in this collaboration is the integration of the PERPETUO software on the new line of ESM spraying machines. We support the development of PERPETUO also in-house at Wollin because it offers our customers predictive maintenance and even more reliability and efficiency.
Agrati AEE's technical choices have always been oriented towards a process control that guarantees stable and quality-assured production. We have therefore found ourselves with increasingly complex machines that generate a lot of useful data for the customer, hence the logical thought was, why not use this large amount of data to give added value to our customers? Working with Gefond to install PERPETUO on our products is the right answer for us. Give value to the data and make them vectors for improvement.

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Discover the full potential of PERPETUO

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Discover the full potential of PERPETUO

Can energy efficiency also be achieved through predictive maintenance?

PERPETUO allows energy consumption to be monitored and reduced.
By analysing data, it makes it possible to understand in advance whether more energy is being consumed than necessary due to component wear or machinery malfunction, and to correct any anomalies found.
This approach also reduces the carbon footprint of industrial plants, thus proactively and intentionally adhering to the decarbonization measures needed to combat ongoing climate change.