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Precognize
Tirat HaCarmel, Israel
B
11-50 Employees
2011
Key takeaway
Precognize offers a robust predictive maintenance solution specifically designed for the process industry, significantly reducing the number of actionable alerts to enhance maintenance efficiency. Their approach integrates expert knowledge with machine learning, ensuring effective monitoring and minimizing unexpected issues.
Reference
Core business
Predictive Maintenance for the Process Industry | Precognize
Precognize is a leading predictive maintenance solution for the process industry, lowering maintenance cost and increasing availability
Upstream Security
Herzliya, Israel
B
51-100 Employees
2017
Key takeaway
Upstream's predictive maintenance solution utilizes telematics data from connected vehicles to enable proactive management of vehicle maintenance. This approach helps prevent breakdowns, reduce downtime, and ultimately lower maintenance costs.
Reference
Product
Automotive Predictive Maintenance | Upstream
Upstream's cloud-based platform leverages telematics data collected from connected vehicles to empower smart mobility stakeholders to proactively manage vehicle maintenance, prevent breakdowns, reduce downtime, and reinforce brand perceptions.
Razor Labs
Tel-Aviv, Israel
B
101-250 Employees
2016
Key takeaway
Razor Lab offers an advanced predictive maintenance platform that enhances operational efficiency by reducing unplanned downtime and preventing failures. Their innovative solutions, including sensor fusion for improved failure coverage and root cause analysis, are designed to optimize maintenance strategies and increase overall productivity.
Reference
Core business
Making Machines Smarter - Razor Labs
Making Machines Smarter Reimagine Predictive Maintenance with Sensor Fusionfor Superb Failure Coverage and Root Cause Analysis. Request a Demo Why Razor Labs Razor Labs is revolutionizing the mining industry with its cutting-edge all-in-one predictive maintenance solutions that reduce unplanned shutdowns, boost productivity, and improve staff safety. Sensors A comprehensive hardware offering for a full 24/7 site […]
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Diagsense
Lev HaSharon Regional Council, Israel
B
1-10 Employees
2013
Key takeaway
DiagSense specializes in predictive maintenance solutions, utilizing innovative statistical algorithms to monitor and foresee malfunctions in mechanical systems like pumps and turbines. Their focus on algorithm development allows for reliable failure prediction and optimization, ultimately enhancing system longevity and efficiency.
Reference
Service
Smart Manufacturing PDM Solutions & System Optimization Israel
Diagsense provide the best smart manufacturing solutions PDM and optimization by analysing raw machine data. We keep the continuity of the machine life.
AnyMaint - predictive maintenance
Rehovot, Israel
B
1-10 Employees
2021
Key takeaway
AnyMaint is a powerful platform designed to enhance maintenance processes and significantly reduce unplanned downtime by up to 70%.
Reference
Core business
Anymaint – Maintenance Software
Feelit
Haifa, Israel
B
1-10 Employees
2016
Key takeaway
Feelit Technologies Ltd. specializes in predictive maintenance through its innovative nanomaterials ink-based sensing technology, which provides real-time insights to detect parameter changes and predict upcoming failures in industrial systems. This capability enhances uptime, reduces costs, and minimizes safety risks, ultimately transforming asset management for manufacturers.
Reference
Core business
Feelit - Predicting Maintenance
Feelit Technologies Ltd. is an Israeli based Industry 4.0 company operating in the field of Predictive Maintenance. The Company has developed and provides a unique nanomaterials ink-based sensing technology, combining a printed sticker sensor and proprietary analytics, that can detect parameter changes and predict upcoming failures in industrial and process systems. Feelit enables real-time insights, empowering manufacturers to transform the way they manage their critical assets, providing value to users through improved uptime, as well as reduced asset cost of ownership, and safety risks.The patented end-to-end agile, IIoT sensing and analytics solutions can be deployed and scaled across a diversity of environments for sustainable manufacturing.
Pointer Telocation Systems
Drom HaSharon Regional Council, Israel
B
501-1000 Employees
1991
Key takeaway
Powerfleet offers innovative solutions that enhance fleet management through advanced monitoring and data analytics. Their system enables real-time visibility of trailer locations and utilization, which can significantly improve operational efficiency and safety standards.
Reference
Product
Powerfleet Expert - Powerfleet®
Quickly and accurately monitor utilization, productivity, damage, safety compliance to find problem areas and identify potential solutions.
PSI Ecology
Ashdod, Israel
B
1-10 Employees
2010
Key takeaway
The company's technology includes a smart IoT device that provides real-time alerts and optimized route navigation, which can enhance operational efficiency and control.
Reference
Core business
HOME | Databin Lp
Greazly
Nes Ziona, Israel
B
1-10 Employees
2021
Key takeaway
Greazly offers a real-time machine monitoring system that enhances predictive maintenance by ensuring proper greasing, which significantly reduces unplanned downtime. Manufacturers using Greazly's system can cut their unplanned downtime by half, leading to substantial cost savings.
Reference
Core business
Monitor Machines To Ensure Proper Greasing | Greazly
Greazly monitor machines to ensure proper greasing
PhononIA
Nof HaGalil, Israel
B
11-50 Employees
2020
Key takeaway
PhononIA develops advanced AI-based acoustic sensing systems that enable continuous monitoring and prediction of failures in industrial assets, particularly control valves. Their Deep Sensing™ technology enhances maintenance resource utilization, ultimately reducing economic losses and environmental risks associated with asset failures.
Reference
Core business
PhononIA
State-of-the-art AI-based acoustic sensing system designed to continuously monitor, test, and predict failure in control valves.
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When exploring the Predictive Maintenance industry in Israel, several key considerations come into play. First, understanding the technological landscape is crucial, as Israel is known for its innovative tech ecosystem and expertise in data analytics and IoT. The integration of these technologies is essential for effective predictive maintenance solutions. Regulatory compliance is also important, particularly regarding data privacy and environmental standards, as companies must adhere to local and international regulations. Challenges in this industry may include the high initial investment required for implementing predictive maintenance systems and the need for skilled personnel to analyze data effectively. However, opportunities abound due to the increasing adoption of Industry 4.0 practices, which drive demand for predictive maintenance solutions to enhance operational efficiency and reduce downtime. The competitive landscape in Israel features a mix of established firms and startups, fostering a dynamic environment ripe for collaboration and innovation. Additionally, global market relevance is significant, as Israeli companies often enter international markets, leveraging their technological advancements and expertise. Environmental concerns are increasingly influencing market strategies, with a focus on sustainability and reducing the carbon footprint of industrial operations. Overall, being aware of these factors can provide valuable insights for anyone interested in the predictive maintenance sector in Israel.
Some interesting numbers and facts about your company results for Predictive Maintenance
| Country with most fitting companies | Israel |
| Amount of fitting manufacturers | 30 |
| Amount of suitable service providers | 18 |
| 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 AnyMaint - predictive maintenance, Greazly
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Automation, Electronics and Electrical engineering, Automotive, Medical
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.