5 Top Predictive Maintenance Startups for Manufacturing Companies

Curious about new technological advancements in the manufacturing industry? Explore our analysis of 123 global startups & scaleups and learn how their predictive maintenance solutions impact your manufacturing business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the manufacturing industry. This time, you get to discover five hand-picked predictive maintenance startups for manufacturing companies.

Out of 123, the Global Startup Heat Map highlights 5 Top Predictive Maintenance Startups for Manufacturing Companies

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 123 exemplary startups & scaleups we analyzed for this research. Further, it highlights five manufacturing startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 118 predictive maintenance solutions for manufacturing, get in touch with us.

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Agen enables Equipment Condition Monitoring

Founding Year: 2016
Location: Riccarton, New Zealand
Use for Reducing Maintenance Downtime

Agen is a New Zealand-based startup that utilizes industrial internet of things (IIoT) sensors to advance equipment condition monitoring. The startup’s proprietary sensors, Orlando, use advanced vibrations and temperature sensing capabilities to understand equipment conditions. It then sends the data to Agen’s web platform in real-time for continuous monitoring and flags any deviations from the normal conditions. Thus, Agen enables maintenance professionals to predict maintenance issues and take steps in advance to reduce related downtimes for effective operations through its 24/7 monitoring capabilities.

BeyondMinds offers Equipment Breakdown Prevention

Founding Year: 2018
Location: London, UK
Funding: USD 16 M
Partner for Improved Manufacturing Operations

British startup BeyondMinds uses AI to prevent equipment breakdowns in the manufacturing industry. The startup’s platform, BeyonMinds, leverages technologies such as computer vision, speed analysis, and natural language processing (NLP) to improve the accuracy of defect detection in factory equipment. This enhances monitoring sensitivity enabling the platform to forecast any system failures and malfunctions by reporting any deviations from normal conditions. As a result, through the early detection of faulty machinery, factory managers are able to reduce maintenance downtime and optimize energy utilization.

AnyMaint provides Collaborative Maintenance

Founding Year: 2021
Location: Rehovot, Israel
Use for Equipment Failure Forecasting

AnyMaint is an Israeli startup that provides collaborative maintenance solutions for the manufacturing industry. The startup’s web-based platform accumulates data on similar equipment from multiple customers to understand normal working conditions. Whenever the data being collected shows variations, the software recognizes the event through machine learning-based analysis. This analysis also enables AnyMaint to suggest customized maintenance plans for their clients and predict tool failures enabling streamlined maintenance for manufacturing units.

ENLYZE facilitates Optimal Machine Utilization

Founding Year: 2018
Location: Cologne, Germany
Funding: USD 2,4 M
Partner for Continuous Asset Monitoring

ENLYZE is a German startup that develops software solutions for optimal machine utilization in manufacturing facilities. Its platform combines production data from multiple systems such as factory ERP, manufacturing execution system (MES), and quality management (QM) system to provide a holistic view of the entire production process. Data from these systems also enable the platform to monitor machinery status and predict imminent failures. Additionally, the platform analyzes production quality and energy consumption to maintain heterogeneous production lines and improve their speed.

In2AI enables Remote Asset Monitoring

Founding Year: 2020
Location: Madrid, Spain
Collaborate for Equipment Defect Detection

Spanish startup In2AI offers AI-based solutions to streamline remote monitoring of industrial assets. The startup uses AI to analyze the data collected from manufacturing processes and detect any anomalies or irregular patterns with respect to optimal working conditions. It proactively and predictably reports irregularities to maintenance staff so that appropriate steps are taken to address the issue. The AI is also capable of suggesting appropriate measures based on the state of equipment and economic conditions to manage faults and improve manufacturing operations.

Discover more Manufacturing Startups

Manufacturing startups such as the examples highlighted in this report focus on equipment condition monitoring, optimal machine utilization, remote asset monitoring as well as equipment failure forecasting. While all of these technologies play a major role in advancing the manufacturing industry, they only represent the tip of the iceberg. To explore manufacturing technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free Manufacturing Innovation Report to save your time and improve strategic decision-making.

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