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Discover 5 Top Predictive Maintenance Solutions impacting Utility Companies

Curious about new technological advancements impacting utilities? Explore our analysis of 684 global startups & scaleups and learn how their predictive maintenance solutions impact your business!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into utilities. This time, you get to discover 5 hand-picked predictive maintenance solutions impacting utility companies.

Out of 684, the Global Startup Heat Map highlights 5 Top Predictive Maintenance Solutions impacting Utility Companies

The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-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 684 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 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 5 startups & scaleups in this report. For insights on the other 679 predictive maintenance solutions for utility companies, get in touch.

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Sensemore offers Plug-and-Play Sensors

Internet of Things (IoT) enables the tracking of equipment health and operation through the use of sensors and analytics. However, this technology is not efficient for large-scale deployments in utility networks due to the cost of specialized sensors and their installation. This limits their viability among utility network operators, which is why startups are creating plug-and-play sensors.

Turkish startup Sensemore provides a range of plug-and-play condition monitoring sensors. Their sensors feature energy harvesting, long-range communication, cloud-based software, and multi-sensor synchronization capabilities. The vibration and temperature sensors are designed to predict equipment failures while being inexpensive to deploy on large scale. Their solution benefits utility companies and operators by reducing unplanned downtimes in power generation facilities and optimization of oil and gas production processes.

Streametric provides a Predictive Maintenance Platform

Utility networks in cities are highly complex with extensive infrastructure and connected devices. Equipment or device failure in these networks often results in high maintenance costs along with losses due to downtime. This is why startups are developing software to predict failures and schedule preemptive maintenance.

US-based startup Streametric provides remote monitoring and predictive maintenance software for water utility networks. The startup’s Streametric is a cloud-based IoT platform that receives data in real-time from sensors, captured directly from the plant’s programmable logic controller (PLC). This data is then automatically processed by artificial intelligence (AI) which predicts potential failures. The solution enables water and wastewater plant operators to minimize the risk of failures and downtime during membrane operations.

Dashboard enables Pipeline Condition Prediction

Pipeline networks that transport oil and gas, both undersea and above land, have not yet fully adopted modernization. As a result, issues are only detected at the ends of pipeline networks when operational inefficiencies become visible. By the time such problems are identified and maintenance crews are deployed, it would have resulted in significant monetary losses and ecological damage. To avoid this, startups are modernizing pipelines using sensors and predictive maintenance.

British startup Dashboard develops a predictive maintenance platform for pipelines. Their hardware-agnostic platform combines remote sensing, edge computing, cloud services, and data visualization to predict failures and problems in pipelines and generate alerts. The startup’s Limpset retrofit device further provides real-time diagnostics, including leak detection, security, and flow measurement, using a range of sensors. The solution allows oil and gas pipeline owners and operators to reduce time, costs, labor and requirements, among other resources.

Mechmine develops Condition Monitoring Sensors for Wastewater Equipment

Wastewater treatment plants play an important role in controlling waste generated by cities. To ensure continuous operation, they require extra backup pumps, motors, and gearboxes to accommodate for potential downtime of primary equipment. Subsequently, the cost and difficulty of maintenance of all this equipment and infrastructure prompt startups to create sensors for predictive asset maintenance.

Mechmine is a Swiss startup that provides solutions for continuous condition monitoring and health prediction of wastewater plant equipment. Their software enables early detection and warning of upcoming defects and affected components. This increases plant availability and extends the useful life of components through predictive maintenance. They also offer hardware solutions that include optimized slow-rotating motors and high-rotations per minute (RPM) shafts.

SpaceAge Labs develops a Cloud-based Predictive Maintenance Software

Utility operators use sensors and devices to keep track of their operations and reduce downtime. However, as the scale of networks increase, it becomes difficult for software to ingest all the data and data types from the sensors. This is why startups are creating cloud-based solutions that are easily scalable.

Singapore-based startup SpaceAge Labs develops IoT-based analytics software. The eEye IoT Cloud is an enterprise-grade IoT software to remotely monitor and manage thousands of critical assets. The startup’s remoteEye IoT platform enables connected operations such as water and sewer level monitoring, pipe corrosion, leak detection, and more. This allows waste treatment and water network operators to improve their operations through predictive and preemptive actions.

Discover more Utility Startups

Startups such as the examples highlighted in this report focus on artificial intelligence, cloud computing, data visualization as well as digital maintenance. While all of these technologies play a major role in advancing utility management, they only represent the tip of the iceberg. To explore more technology solutions for utility companies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.

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