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Industry 4.0 CMMS
Chennai, India
D
11-50 Employees
2015
Key takeaway
MaintWiz Technologies specializes in predictive maintenance through its advanced CMMS platform, which focuses on condition monitoring and generating reliability analytics. Their solutions leverage AI and machine learning to fetch data, build models, and enable alerts, providing maintenance professionals with actionable insights for improved asset management.
Reference
Product
Best in Class CMMS Software for Predictive Maintenance.
Fetch Data. Compute Values. Build Models. Use AI / ML. Configure rules engine. Enable Alerts. Generate Analytics. Build your Predictive Maintenance System Today.
AskMRO
India
D
1-10 Employees
2017
Key takeaway
The company specializes in providing expert support for maintenance, emphasizing the importance of predictive maintenance in optimizing plant performance and reducing operating costs. Their dedicated services include on-site asset maintenance and the establishment of effective predictive maintenance processes.
Reference
Core business
PdM Equipment And Services - AskMro
Arrelic
Bhubaneswar Municipal Corporation, India
D
11-50 Employees
2016
Key takeaway
Arrelic specializes in a wide range of predictive maintenance services, including vibration analysis and infrared thermography, leveraging their reliability engineering expertise to enhance operational excellence and profitability. They also offer comprehensive assessments of plant functions and processes.
Reference
Product
Top Predictive Maintenance Services| Arrelic | Arrelic
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Petrolabs India Private Ltd
Hyderabad, India
D
11-50 Employees
2011
Key takeaway
The company, Petrolabs, specializes in reliability training and consultancy services, offering courses and certifications that could enhance predictive maintenance practices. They provide training on practical oil analysis and wear debris monitoring, which are essential components of effective predictive maintenance strategies.
Reference
Service
Maintenance & Support – PetroLabs India Pvt. Ltd.
Prognosys EMS Private Limited
Hyderabad, India
D
1-10 Employees
2006
Key takeaway
Prognosys specializes in predictive maintenance through its comprehensive condition monitoring services for power equipment, including generators, motors, and transformers. With a focus on scientific prediction and advanced technology, Prognosys delivers detailed assessments and actionable reports that enhance asset management and operational efficiency for its clients in the power industry.
Reference
Core business
About Us - Prognosys
Neptunus Power
India
D
51-100 Employees
1996
Key takeaway
Neptunus is revolutionizing maintenance practices in the marine, oil and gas, industrial, and defense sectors through its predictive maintenance solutions. Their Oil Quality Management System provides early warning diagnostics and remote access to maintenance insights, aimed at reducing costs and preventing failures.
Reference
Core business
Predictive Maintenance Solutions & Ship Engine Repair | Neptunus
Neptunus strives to keep machines moving by reducing costs and eliminating failures through our predictive maintenance solution which can be accessed remotely.
NDL POWER LIMITED
New Delhi, India
D
251-500 Employees
1984
Key takeaway
NDL Power Limited offers a comprehensive power transformer maintenance solution, including predictive maintenance through their online analytical and diagnostic fleet management system. Their experienced team ensures effective condition monitoring to extend the operational life of transformers.
Reference
Core business
The Power Transformer Condition Monitoring & Maintenance Service!
About NDL Power Limited - Transformer Rental Service in India, we are providing a power transformer maintenance solution and Transformer condition monitoring service.
Infinite Endurance Technologies
Indore, India
D
1-10 Employees
2021
Key takeaway
The company offers predictive maintenance solutions that provide real-time insights into the health of critical equipment, which is essential for intelligent decision-making in the manufacturing sector. Their services include IoT-based monitoring and interactive dashboards, helping to transform traditional factories into smart, data-driven environments.
Reference
Core business
Iot | Infinite endurance
Home Page of Infinite Endurance Technologies, Industrial IOT and Predictive Maintenance Products and Services
Energymech Engineers
Vadodara, India
D
1-10 Employees
2020
Key takeaway
Energymech Engineers positions itself as a leading service provider for condition monitoring services, utilizing advanced technology and a team of experienced professionals to ensure high-quality maintenance and repair for various motor types.
Reference
Core business
Energymech Engineers
Your Maintenance Partner Govt. Approved License Electrical Contractor
Akrivia MHM
Visakhapatnam, India
D
251-500 Employees
-
Key takeaway
AkriviaMHM focuses on providing innovative solutions for predictive maintenance by enhancing machine health through real-time monitoring. Their commitment to affordable digital infrastructure enables industries to leverage data and intelligent algorithms for improved reliability and reduced downtime.
Reference
Core business
Akrivia – Machine Health Monitoring
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
edpem
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Offshore Converter Station Maintenance and Servicing
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OperAID
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Automotive Engineering
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A selection of suitable use cases for products or services provided by verified companies according to your search.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
Use case
Real-Time-Monitoring
Logistics
The challenge: The pharmaceutical company works closely with logistics service providers. Due to the volatile nature of the sector's order book, it was difficult to accurately predict capacity utilization, leading to recurring problems with service providers during collection. Service providers need timely information on freight volumes, collection details and the appropriate mode of transport. A key challenge was the sharing of real-time transport data. Another key concern was tracking and tracing, which proved difficult due to incomplete integration of certain areas of the warehouse management system. In addition, real-time monitoring of internal and external departments and service providers was required to optimize logistics processes. The solution: edpem was implemented as an end-to-end monitoring solution to improve logistics processes. The monitoring covered the entire delivery process, from SAP order documents and invoices to final delivery. Connection and monitoring of the warehouse management system was also part of the scope. Comprehensive tracking of goods throughout the supply chain enabled quick retrieval of information without involving other departments, saving valuable time and resources. Optimal vehicle selection for parcel collection and product tracking by batch were achieved. Internal IT system security was ensured, as external partners could only access edpem without needing permissions for internal applications. Parcel scanning enabled customer order tracking and tracing, early problem identification and real-time notification of process owners. edpem tracked the entire shipping process from packaging to customer delivery. The automation of electronic data interchange (EDI) provided new opportunities for superior service and quality for customers and logistics providers. Our customer: A pharmaceutical company based in Germany provides "Made in Germany" products to patients worldwide, with almost all products manufactured at its headquarters in Baden-Baden and distributed through an extensive network. Its main focus is on the research and production of medicines based on natural ingredients. The company has achieved global growth and operates in 50 countries.
Use case
Continuous monitoring
Airport, Logistics
The challenge: A leading provider of ground services and cargo handling wanted to offer comprehensive solutions to the aviation industry. To drive innovation in key areas such as service, quality and reliability, the company wanted to improve visibility and communication through integration and networking across departments. Monitoring irregularities in process flows was critical to optimizing ground handling services. Working with multiple service providers and their disparate IT systems, which varied between airports and internal departments, was a challenge, while maintaining uninterrupted operations throughout the project. The solution: This multi-stage project used edpem, a process event monitoring tool, as the primary solution for monitoring ground services. To ensure fast aircraft turnaround times, the critical path in the process flow needed to be measured and monitored, especially when processes were transferred between suppliers. edpem recorded multiple events, including parking, disembarking completion, cleaning, catering, fuelling, crew boarding and loading completion. Service Level Agreements (SLAs) were tracked and monitored, and causes of delays identified and improved. Ground handling services were optimized by assessing service duration and process flow irregularities. In addition to monitoring traditional EDI processes, visualized reports improved reporting efficiency and facilitated faster decision-making. Key results included reduced turnaround times and fewer disruptions to flight operations. Our client: A major European airport provides ground services to approximately 265 million passengers annually and manages 4.6 million tonnes of global air cargo. Several warehouses are IATA CEIV certified for pharmaceutical logistics. In 2019, its 64,000 employees operated at 300 airports in 47 countries on six continents.
The Predictive Maintenance industry in India is evolving rapidly, driven by advancements in IoT, AI, and data analytics. When researching companies in this field, it is crucial to consider the regulatory framework, which includes compliance with safety and environmental regulations specific to industrial operations. Additionally, understanding the challenges such as the integration of legacy systems with new technologies, data security concerns, and the need for skilled labor is vital. Opportunities abound as industries like manufacturing, energy, and transportation increasingly adopt predictive maintenance to reduce downtime and operational costs. The competitive landscape is characterized by both established firms and emerging startups, making it important to assess each company's technological capabilities and market position. Environmental concerns are also significant, as predictive maintenance can contribute to sustainability by optimizing resource use and reducing waste. Furthermore, the global market relevance of predictive maintenance is noteworthy, with many Indian companies aiming for international standards and partnerships. This global perspective can provide insights into best practices and innovative solutions, enhancing the industry's growth potential domestically. Overall, a comprehensive understanding of these factors is essential for anyone looking to enter or invest in the Predictive Maintenance sector in India.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | India |
Amount of fitting manufacturers | 430 |
Amount of suitable service providers | 426 |
Average amount of employees | 11-50 |
Oldest suiting company | 1984 |
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 Infinite Endurance Technologies
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Manufacturing, Electronics and Electrical engineering, Oil, Energy and Gas, Automation
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.