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PREDICT Australia Pty Ltd
Adelaide, Australia
A
1-10 Employees
2018
Key takeaway
Predict has successfully implemented predictive maintenance strategies for mining companies, notably by designing indicators that monitor equipment health and performance. Their cloud-based platform, KASEM®, provides timely alerts for maintenance needs, leading to significant reductions in maintenance costs and failures.
Reference
Core business
PREDICT – Predictive Technology for Industries
Holistic Asset Management
Melbourne, Australia
A
1-10 Employees
-
Key takeaway
HolisticAM offers specialized consulting services for predictive maintenance, helping organizations successfully implement and manage predictive maintenance regimes. Their team of Asset Management and Reliability Specialists is dedicated to delivering tailored solutions that enhance operational efficiency.
Reference
Service
Predictive Maintenance (PdM) | HolisticAM
We help your organisation embark on a predictive maintenance regime to implement Predictive maintenance successfully with management support.
VROC AI for Engineers
East Perth, Australia
A
11-50 Employees
2016
Key takeaway
VROC specializes in predictive maintenance, offering a comprehensive platform that enhances asset reliability and optimizes management through AI-driven insights. Their commitment to transforming operations with predictive maintenance software helps companies improve uptime and reduce costs effectively.
Reference
Service
Machine Learning Predictive Maintenance | PDM Software
Uncover real-time predictive maintenance insights to improve reliability, uptime & reduce costs, with VROC's machine learning PdM Software
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Future Maintenance Technologies
Brisbane City, Australia
A
1-10 Employees
2021
Key takeaway
Future Maintenance Technologies is focused on transforming maintenance through AI and robotics, offering automated inspection systems and a range of digital solutions that enhance asset management and operational efficiency. Their commitment to redesigning assets for extensive maintenance automation positions them as a key player in predictive maintenance technologies.
Reference
Core business
thinkFMT - Future Maintenance Technologies
Kingfish Solutions
Melbourne, Australia
A
1-10 Employees
2012
Key takeaway
The company specializes in enhancing maintenance outcomes for asset-intensive organizations through advanced asset maintenance and IoT technology. Their focus on implementing industry-leading solutions and partnering with top vendors positions them as a key player in optimizing predictive maintenance strategies.
Reference
Product
Products | Kingfish Solutions
ProLabs Australia
Emerald, Australia
A
11-50 Employees
2020
Key takeaway
ProLabs Australia offers predictive maintenance solutions through its portable, containerized PCOSv1 laboratory, enabling on-site and immediate fluid analysis. This innovative approach provides maintenance departments with clear, real-time insights into machine health, addressing the specific needs of the mining and related industries.
Reference
Service
Our Services
Proactive | Predictive | Reliable
MRD Rail Technologies
Redland City, Australia
A
1-10 Employees
1991
Key takeaway
MRD Rail Technologies specializes in condition monitoring products that revolutionize maintenance strategies in the railway industry. Their innovative solutions enable remote operators to monitor track machinery conditions and make timely maintenance decisions based on both current and predicted conditions.
Reference
Core business
MRD
Beyond Broke Mechanical & Automotive Services
Broke, Australia
A
- Employees
-
Key takeaway
The company emphasizes the importance of regular servicing to extend vehicle life and minimize expensive breakdowns, which aligns with the principles of predictive maintenance. They also offer mobile services for added convenience, ensuring that repairs can be conducted without the need for transport.
Reference
Service
Services
Services provided
Assetlife Alliance
Sydney, Australia
A
11-50 Employees
2019
Key takeaway
The company focuses on innovative technologies for condition assessment and monitoring, which are essential for predictive maintenance. Their approach is designed to enhance reliability and extend asset life.
Reference
Product
Condition Monitoring - Assetlife Alliance
HVL Group
Singleton, Australia
A
11-50 Employees
1998
Key takeaway
The company emphasizes its expertise in lubrication applications and condition monitoring, which are essential for predictive maintenance. Their services enhance asset reliability by offering targeted solutions that maximize the availability of clients' assets.
Reference
Service
Condition Monitoring - HVL Group
Our Condition Monitoring services enhances asset reliability by providing predictive maintenance of lubricated and rotating components through the integration
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When exploring the Predictive Maintenance industry in Australia, several key considerations come into play. Understanding the regulatory landscape is crucial, as compliance with standards such as the Australian Standards for Equipment Maintenance can impact operational practices. Companies must also navigate challenges like integrating advanced technologies, such as IoT and machine learning, into existing systems. The demand for predictive maintenance is driven by the need for cost efficiency and reduced downtime, providing significant opportunities for growth in sectors like manufacturing, mining, and utilities. Environmental concerns are increasingly relevant, as businesses strive to align with sustainability goals and reduce carbon footprints. This reflects a growing trend in the global market, where organizations are prioritizing eco-friendly practices. The competitive landscape in Australia is characterized by both established players and new entrants, creating a dynamic environment for innovation and collaboration. Furthermore, global market trends indicate a rising interest in predictive maintenance solutions, driven by advancements in data analytics and a shift towards proactive maintenance strategies. Understanding these factors will equip individuals with the knowledge needed to effectively navigate the predictive maintenance sector in Australia.
Some interesting numbers and facts about your company results for Predictive Maintenance
| Country with most fitting companies | Australia |
| Amount of fitting manufacturers | 163 |
| Amount of suitable service providers | 242 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1991 |
| Youngest suiting company | 2021 |
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
Who are Start-Ups in the field of Predictive Maintenance?
Start-Ups who are working in Predictive Maintenance are Future Maintenance Technologies
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Other, Manufacturing, Mining, Oil, Energy and Gas
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.
