Out of 110, the Global Startup Heat Map highlights 5 Top Machine Learning Startups impacting Rail
Startups such as the examples highlighted in this report focus on safe railway shipping, failure prediction, track monitoring, and vehicle-borne video system. While all of these technologies play a significant role in advancing rail, they only represent the tip of the iceberg. This time, you get to discover five hand-picked machine learning (ML) startups impacting rail.
The Global Startup Heat Map below reveals the geographical distribution of 110 exemplary startups & scaleups we analyzed for this research. Further, it highlights five rail startups that we hand-picked based on scouting 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 105 machine learning startups impacting rail, get in touch with us.
One Big Circle develops Vehicle-borne Video Systems
Founding Year: 2017
Location: Bristol, UK
Innovate with One Big Circle for Smart Railway Track Monitoring
US-based startup One Big Circle builds vehicle-borne video systems. The startup combines advanced intelligent video review (AIVR) technology and machine learning to provide smart railway insights. Its AIVR system captures railway surroundings and sends them to the cloud and further to a dashboard. The ML algorithms then analyze the raw data and provide valuable insights into electrical faults and broken railway tracks, among others. Thus, One Big Circle improves the overall safety of the railway transport industry and reduces maintenance costs.
Trainfo aids Railway Traffic Optimization
Founding Year: 2016
Location: Winnipeg, Canada
Funding: USD 180 000
Partner with Trainfo for Rail Crossing Blockage Information
Canadian startup Trainfo uses machine learning to optimize the traffic at railway crossings. The startup provides predictive rail crossing blockage information to manage traffic at the crossing. It re-routes traffic around blocked rail crossings and further, the information enables adaptive traffic signals to reduce congestion. This way, Trainfo allows traffic departments to avoid accidents at railway crossings and prevent traffic delays.
Hum enables Safe Railway Shipping
Founding Year: 2019
Location: St. Louis, US
Collaborate with Hum for Improved Railway Supply Chain
US-based startup Hum improves rail supply chain. The startup’s platform uses machine learning-based predictive analytics and wireless technology in rail operations to provide live GPS data and the location history of railcar fleets. Its intelligent algorithms predict wheel and bearing failure months in advance and automatically detect leaks. This enables logistic operators to ensure safe railway shipping and predict failures to avoid disruptions.
Route Reports offers Railway Operational Intelligence
Founding Year: 2017
Location: London, UK
Funding: USD 4 M
Reach out to Route Reports for Railway Failure Prediction
UK-based startup Route Report provides railway operational intelligence. The startup uses artificial intelligence (AI) to provide real-time rail analytics. Route Reports’ seasonal intelligence platform performs low-adhesion mapping to monitor network adhesion and seasonal treatment strategies. Its products allow transport bodies and rail operators to know exactly where, when, and why an adhesion event has occurred. Hence, the startup allows railway operators to reduce seasonal delays and improve operational efficiencies.
Rail Vision provides a Main Line System
Founding Year: 2016
Location: Ra’anana, Israel
Funding: USD 21 M
Partner with Rail Vision for Streamlined Railway Operations
Israeli startup Rail Vision advances railway vision through its mainline system that utilizes cognitive vision sensor technology and safety systems. The startup’s product, Main Line System, enables trains to detect and classify objects on and along tracks from a distance of up to two kilometers in real-time, as well as in all weather and light conditions. It generates real-time visual and acoustic alerts for both the driver and the operator. This way, Rail Vision enables railway operators to streamline operations and enhance safety, reducing downtimes and accidents.
Where is this Data from & how to Discover More Rail Startups?
Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the rail industry. The insights of this data-driven analysis are derived from our Big Data & AI-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & lets you scout relevant startups within a specific field in just a few clicks. To explore more railroad technologies, let us look into your areas of interest. For a more general overview, download our free Rail Innovation Report to save your time and improve strategic decision-making.