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E-Repair Srl Service Partner Siemens
Italy
B
11-50 Employees
2007
Key takeaway
E-Repair emphasizes its commitment to reducing plant downtime through its advanced repair processes and the availability of courtesy products, which aligns with the principles of predictive maintenance. Their qualified technicians utilize cutting-edge testing tools to restore electronic devices, ensuring optimal performance and functionality.
Reference
Service
Industry predictive maintenance
Aramis
Milan, Italy
B
1-10 Employees
2012
Key takeaway
ARAMIS srl specializes in developing advanced methodologies and algorithms for the analysis of industrial systems, making it well-equipped to address predictive maintenance challenges. With a focus on innovative statistical, artificial intelligence, and machine learning techniques, the company creates customized solutions that enhance reliability and availability for various industries.
Reference
Service
Predictive Maintenance - Aramis3d
Marelli Motor
Italy
B
- Employees
-
Key takeaway
Marelli Motori specializes in providing innovative solutions that enhance the efficiency and productivity of their customers' businesses. Their commitment to predictive diagnostics includes a comprehensive set of tests designed to protect machines from failure and downtime, making them a valuable partner in predictive maintenance.
Reference
Service
Predictive Diagnostics - Marelli Motori
A full set of predictive tests on all electrical and mechanical functional parameters is the most effective procedure available to protect machines from failure and down-time.
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OVER Machining Centers Europe
Pontenure, Italy
B
11-50 Employees
-
Key takeaway
The company offers a comprehensive suite of after-sales services, including predictive maintenance for CNC machining centers. They emphasize technical assistance and calibration to enhance precision, ensuring optimal performance.
Reference
Product
Predictive maintenance | Over Machining Centers
Alma Automotive
Bologna, Italy
B
11-50 Employees
2002
Key takeaway
Alma Automotive's WARNN system is designed for predictive maintenance, enabling the early detection of failures by analyzing input data to forecast the future health of machinery. This innovative approach enhances the reliability and performance of mechatronic systems through advanced telemetry and automation solutions.
Reference
Product
Predictive Maintenance System WARNN - Alma Automotive
The WARNN system helps to discover failures in advance, using input data to estimate future health indicators of observed machinery.
TOOLS for SMART MINDS
Castel Mella, Italy
B
1-10 Employees
1995
Key takeaway
The company focuses on enhancing production processes through innovative data collection and management solutions, with a strong commitment to predictive maintenance strategies that aim to boost production efficiency and extend machinery life cycles.
Reference
Product
Digital Factory AI.Tech - predictive maintenance strategy
Mc RegEm Srl
Italy
B
1-10 Employees
-
Key takeaway
McRegEm specializes in digital services, including the development and maintenance of IoT solutions, and highlights its focus on predictive maintenance. As a technological partner, McRegEm plays a key role in driving innovation and digital transformation for its clients.
Reference
Core business
McRegEm
Mecoil Diagnosi Meccaniche SrL
Florence, Italy
B
11-50 Employees
1989
Key takeaway
Mecoil specializes in lubricant oil analysis and emphasizes innovation and research for predictive maintenance. They offer predefined packages for oil analysis and provide training courses for certification in lubrication technology.
Reference
Core business
Mecoil, specialisti in analisi oli lubrificanti – Innovazione e ricerca per la Manutenzione Predittiva
Innovazione e ricerca per la Manutenzione Predittiva
RAMCUBE
Milan, Italy
B
11-50 Employees
1997
Key takeaway
RAMCUBE offers an Asset Management solution that supports maintenance services, emphasizing Maintenance Management and Asset Integrity.
Reference
Core business
MAINTENANCE MANAGEMENT & ASSET INTEGRITY | RAMCUBE
MPS Engineering S.r.l.
Mercato San Severino, Italy
B
11-50 Employees
2014
Key takeaway
MPS Engineering offers support to businesses in their digital transition, utilizing cutting-edge technologies and the expertise of their skilled technicians. Their strong focus on quality and innovation enables them to develop and provide advanced solutions tailored to meet the specific needs of clients, which may include predictive maintenance strategies for enhancing the durability and efficiency of industrial systems and automated warehouses.
Reference
Product
Maintenance - MPS Engigneering
MPS Maintenance DURABILITY AND EFFICIENCY OF INDUSTRIAL SYSTEMS AND AUTOMATED WAREHOUSES h24 7 su 7 call us
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When exploring the Predictive Maintenance industry in Italy, several key factors come into play. Regulatory compliance is crucial, as Italian and EU regulations dictate standards for safety and environmental sustainability. Companies must be aware of the Industry 4.0 framework, which encourages integration of digital technologies in manufacturing, enhancing predictive maintenance capabilities. The competitive landscape is evolving, with both established firms and startups vying for market share. Understanding the technological advancements, such as IoT and AI, is essential for identifying innovative solutions that can offer a competitive edge. Additionally, the Italian market presents unique challenges, including a diverse industrial base and varying levels of technology adoption among sectors. Opportunities abound, especially in industries like manufacturing, energy, and transportation, where predictive maintenance can significantly reduce downtime and operational costs. Environmental concerns are also prominent, as companies increasingly aim to minimize their carbon footprint through efficient maintenance practices. Overall, the global relevance of predictive maintenance is underscored by its potential to transform operations, making it a vital area for investment and development in Italy.
Some interesting numbers and facts about your company results for Predictive Maintenance
| Country with most fitting companies | Italy |
| Amount of fitting manufacturers | 130 |
| Amount of suitable service providers | 125 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1989 |
| Youngest suiting company | 2014 |
Some interesting questions that has been asked about the results you have just received for Predictive Maintenance
What are related technologies to Predictive Maintenance?
Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Manufacturing, Oil, Energy and Gas, Machinery Manufacturing, Other
How does ensun find these Predictive Maintenance Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.