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Discover 5 Top Engineering Startups developing Digital Maintenance Solutions

Curious about new technological advancements impacting engineering? Explore our analysis of 593 global digital maintenance startups & scaleups and learn how their 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 engineering technologies. This time, you get to discover 5 hand-picked digital maintenance startups.

Global Startup Heat Map highlights 5 Top Digital Maintenance Startups impacting Engineering out of 593

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 593 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 digital maintenance startups impacting engineering 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 588 digital maintenance solutions for engineering, get in touch.

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CriticalAsset develops an Infrastructure Management Platform

Within a building, heating, lighting, and plumbing activities require continuous monitoring and maintenance. However, manual maintenance practices apply the reactive principle that leads to significant losses. Startups develop software to improve the maintenance of building infrastructure and utilities using schematics with location data of assets.

US-based startup CriticalAsset builds software that improves facility management through the documentation of infrastructure assets. CriticalAsset allows maintenance teams to find building plans and affected areas, as well as maintenance schedules and service history, using smart devices. This eliminates guesswork and reduces the time spent on organizing various documentation. CriticalAsset allows building maintenance teams to monitor all critical infrastructure assets including electrical, plumbing, fire & safety, and mechanical.

Flod AI provides a Power Lines Optimization Solution

Power lines are a critical part of electrical infrastructure, and without their continuous operation, devices and appliances would not be able to function. However, the power line infrastructure located in remote regions is hard to manually assess without posing risks and health hazards to technicians. To solve this, startups are using connected Internet of Things (IoT) sensors and data analysis to monitor and maintain power lines.

French startup Flod AI develops an AI-based IoT system that analyzes vibrations to identify the condition of electrical grid structures and optimize their maintenance. The startup’s Sentinel solution is a proprietary vibration and inclination sensor and Sentive AI API is a self-organizing white-box neural network. These solutions operate in both unsupervised and supervised modes to ease decision-making. Additionally, the solution contains a data visualization platform to gain insights through visualized summaries. Flod AI’s solutions help companies monitor and maintain large static infrastructure efficiently and inexpensively.

Diglobal develops a Defect Tracking Platform for Civil Infrastructure

Large civil infrastructure systems such as bridges and tunnels are designed to withstand enormous amounts of strain and pressure. However, they are prone to defects and degradation over time which, if left unchecked, incurs significant maintenance costs. If not mitigated, a defect in a critical infrastructure system leads to tragic accidents and lengthy repair works. Moreover, infrastructure being closed or decommissioned due to infrastructural issues results in hefty monetary losses for operators. To avoid this, startups develop smart maintenance tools that track potential risks or defects on civil infrastructure.

US-based startup Diglobal develops a high-performance algorithmic pipeline that automatically identifies defects in critical transportation infrastructure. The startup’s proprietary deep-learning detection and segmentation technology analyze photos, after which defects are prioritized and geolocated within the critical asset. Additionally, Diglobal’s proprietary analytics’ engine analyzes the progress of defects and provides professional context and real-time alerts for operations and maintenance teams.

Infrasens provides an IoT Maintenance Toolkit

For large infrastructure systems, it is important to have numerous sensors to ensure effective monitoring of the entire surface area. Infrastructure developers or contractors do not always have the required knowledge or expertise to procure and install large-scale sensor systems. As a result, startups are providing smart monitoring and maintenance tools to civil engineers and infrastructure managers.

Swiss startup Infrasens provides a digital IoT toolkit and real-time self-optimizing data analysis software for engineering companies. The startup’s solutions are tailored according to the application area, including tunnels, bridges, construction sites, and machines. Their system is scalable with any sensor and allows for high-density data management to boost safety, cut maintenance costs, and reduce the ecological footprint of construction activities. Additionally, the startup works with customers to build customized data management systems

Neuron Soundware develops Acoustic Condition Monitoring

High precision engineering equipment used in manufacturing and other applications requires constant monitoring to avoid expensive maintenance costs. Non-intrusive methods of equipment monitoring such as acoustic measurement are rising in popularity due to the ease of measuring data from hard-to-reach and hazardous areas. To this end, startups provide advanced sensing equipment to enable remote condition monitoring.

Czech startup Neuron Soundware develops an AI-based solution that analyzes audio data of factory machines. The acoustic data is then measured against an extensive database of sounds to detect abnormal behavior and predict future malfunctions. This helps engineering companies reduce unplanned downtime of their assets. The startup’s solution is also cost-efficient and easily scalable.

Discover more Engineering startups

Engineering startups such as the examples highlighted in this report focus on IoT-based maintenance, digital optimization tools, and condition monitoring solutions. While these technologies play a major role in advancing digital maintenance, they only represent the tip of the iceberg. To explore more engineering technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download our free Industry Innovation Reports to save your time and improve strategic decision-making.

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