Anticipate failures and reduce downtime.

Do predictive maintenance with PERPETUO.

“I can say that my father and I represent a happy case of generational transition and continuity. With continuous discussion on both the company’s consolidated and new Gefond projects, such as PERPETUO.”
“My daughter Tiziana has brought innovative ideas and a novel vision to the industry. Predictive Maintenance with PERPETUO software is an example of this. It is aimed not only at the foundry world, but can be applied to any machine anywhere in the world.”
Tiziana Tronci & Pierluigi Tronci

PERPETUO is the intuitive and user-friendly artificial intelligence software for predictive maintenance, the only one that can talk to any machine and peripheral in the die-casting cell, and beyond, anywhere in the world.

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How does PERPETUO work?

Leveraging Artificial Intelligence models to identify abnormal behavior, PERPETUO transforms data collected from sensors installed on plants or from 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 by machinery.
The software uses sophisticated mathematical algorithms, which analyze the data and calculate the risk that failure of a particular component may occur. The system sends an alert reporting the criticality before the failure occurs. Visualization dashboards complete the operating system.

PERPETUO at the service of companies

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

Let your machines talk with PERPETUO

Learn how to take care of your machines and optimize the production process. We are available for a preliminary analysis, please contact us.


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

We are pleased with the results so far and the solutions Gefond has been able to propose and implement to turn a problem into an opportunity. We are monitoring presses and stampings from different manufacturers. In particular, we focused on the hydraulic closure failures, with the goal of connecting all the plant's systems in the coming months.
The choice of PERPETUO allows us to make that now dutiful transition to Industry 4.0, to anticipate failures and to run our company as a capable and digitized 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 machining machines in all our plants. Through predictive maintenance, we want to better manage machinery maintenance and anticipate problems in order to reduce downtime and optimize spare parts management

I am happy that a foundry system like PERPETUO has emerged. The new generation approaching factory work enters the company after the course of study. While they acquire managerial skills and theoretical expertise, they do not have the time to learn about the folds and twists of operational work. I was already hanging around the factory when I was six years old, breathing the air. My son is beginning now at age 18 to experience in the field what it is like to work in the foundry. Today, thanks to new technological frontiers, we can make sure that this gap is bridged. 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 Italian foundries, the innovative integration project of PERPETUO Predictive Maintenance software developed by Gefond is finally a reality. The results, as verified in testing, are remarkable and above expectations. Hydraulic circuit cooling system failures were reduced by 75% and valve and pump failures due to overheating were reduced by 50%. In addition to the sensors already installed on our trimming presses, we have decided to go a step further with new sensors that, in addition to helping us with predictive maintenance, will allow us to gain insight into the behavior of our machines over time. PERPETUO will not only serve our customers but will be an aid to us in continuous improvement and component optimization.

The collaboration between Wollin and Gefond is a historic partnership. It began in 1998 when Gefond became the exclusive representative for Italy of Wollin spraying and in time became the world's leading distributor by number of systems sold. The next step forward in this collaboration is the integration of PERPETUO software on the new line of ESM spraying. After careful analysis and extensive testing, we chose PERPETUO to offer our customers predictive maintenance and even more reliability and efficiency.

Agrati's technical choices have always been oriented toward process control to ensure stable and quality-assured production. So we found ourselves with increasingly complex machines that generate a lot of useful data for the customer, hence the logical thinking was, why not use this large amount of data to give additional value to our customers? Partnering with Gefond to install PERPETUO on our products is the right answer for us. Giving value to data and making 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 done through predictive maintenance?

PERPETUO allows you to keep energy consumption under control and reduce it.
Through data analysis, it makes it possible to understand in advance whether more energy is being consumed than necessary due to component wear and tear or machinery malfunction, and to correct any anomalies found.
This approach also makes it possible to reduce the carbon footprint of industrial facilities, thereby proactively and intentionally adhering to the decarbonization measures needed to combat ongoing climate change.