Predictive Maintenance Startups StartUs Insights

3 Top Predictive Maintenance Startups Impacting The Railway Industry

We analyzed 425 Predictive Maintenance Startups. MPEC, Track IQ, and RailPod develop 3 top solutions to watch out for. Learn more in our Global Startup Heat Map!

Our Innovation Analysts recently looked into emerging technologies and up-and-coming startups working on solutions for the railway industry. As there is a large number of startups working on a wide variety of solutions, we decided to share our insights with you. This time, we are taking a look at 3 promising predictive maintenance startups.

Heat Map: 3 Top Predictive Maintenance Startups

For our 3 top picks, we used a data-driven startup scouting approach to identify the most relevant solutions globally. The Global Startup Heat Map below highlights 3 interesting examples out of 425 relevant solutions. Depending on your specific needs, your top picks might look entirely different.


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Which startups develop the other 422 solutions?


MPEC – Complete Condition Monitoring Solutions

The different components of the railway system all require careful inspection and maintenance as the entire system can be stalled if even one component is not performing properly. From vehicle and locomotive conditions to the tracks, electrical signals and other infrastructure, companies are finding innovative solutions to tackle poor data collection, in order to get the big picture and affect maintenance work in a positive manner.

The more established British company MPEC develops artificial intelligence (AI)-based data acquisition and condition monitoring solutions for the rail industry. They offer isolated analog and digital inputs, power outputs, UPS, wireless communications, web servers, and local touch-screen diagnostics. When combined with Centrix, their web-based replay, analysis, and failure prediction system, they are able to integrate all the remotely collected data and provide end to end condition monitoring solutions.

Track IQ – Track Condition Monitoring

There are various individual condition monitoring systems that provide maintenance data for rail operators – from track bearings to electrical and mechanical signaling. Advancements in remote communications and connectivity have enabled centralizing of the various standalone monitors for analysis. This can have many benefits for train operators as they see a significant drop in maintenance costs and delays.

Australian startup Track IQ, a division of Wabtec Control Systems, develops FleetOne, a multi-sensor trending database that extends the capability of various wayside monitoring hardware interfaces. Instead of each condition monitoring device providing its own method to access its data, FleetONE provides a single interface for users to work with all condition-monitoring information associated with a user’s rolling stock.

RailPod – Track Inspection & Maintenance

Different rail systems have different specific requirements for their components’ maintenance and monitoring. Rapid transit systems are being built all over the world and traditional train lines are being rehauled and connected over much larger distances than before. All this variety can hit train operators as they spend huge sums on maintenance and repair over the asset’s lifetime. Startups are developing innovative solutions to address the maintenance challenges in railroads.

The US-based startup RailPod develops inspection technologies for railways using specialized vehicles that are equipped to perform multiple rail inspection tasks. Operating alone or in a fleet, with remote pilots or autonomously, these vehicles gather data on track geometry, rail wear, bridge, and tunnel clearances, overhead catenary, internal rail flaw, and asset mapping. In addition, their platform or the inspection vehicle is portable and flexible, allowing it to be used as an inspection tool for passenger, freight and transit systems.

What About The Other 422 Solutions?

While we believe data is key to creating insights it can be easy to be overwhelmed by it. Our ambition is to create a comprehensive overview and provide actionable innovation intelligence for your Proof of Concept (PoC), partnership, or investment targets. The 3 startups showcased above are promising examples out of 425 we analyzed for this article. To identify the most relevant solutions based on your specific criteria and collaboration strategy, get in touch.

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