Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the railway industry. This time, you get to discover 5 hand-picked startups developing risk management solutions.
Global Startup Heat Map: 5 Top Risk Management Startups
The 5 risk management startups you will explore below are chosen based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. This analysis is based on the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 1.3 million startups & scaleups globally.
The Global Startup Heat Map below highlights the 5 risk management startups & scaleups our Innovation Researchers curated for this report. Moreover, you get insights into regions that observe a high startup activity and the global geographic distribution of the 150 companies we analyzed for this specific topic.
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Fragile – Earth Surface Monitoring
Throughout their lifecycle, rail tracks interfere with various geological processes that increase maintenance frequency and reduce their lifespan. To minimize the impact of landslides, subsidence, or tectonic motion, railway construction companies consult with geology experts. For example, startups offer surface monitoring services to make railway infrastructure resistant to sudden geological activity.
Fragile is an Italian startup offering surface monitoring solutions for linear infrastructures such as railways and roads. The startup provides aerial Interferometric Synthetic Aperture Radar (InSAR) monitoring and InSAR-based services for early detection of geological activity. Additionally, Fragile interprets geological models and analyzes historical displacement data. These solutions help rail construction companies optimize risk assessment and maintenance efficiency.
Pluvi.On – Weather Monitoring & Reporting
Weather conditions play a significant role in the completion of railway construction projects. Delays due to unreliable weather weigh heavily in terms of cost and resources. Weather reporting systems, granular forecasts, and weather maps provide the much-needed accuracy in weather prediction that railway construction companies are in need of. By providing timely warnings of unfavorable weather conditions, emerging rail startups allow rail operators to optimize time and expenses.
Brazilian startup Pluvi.On provides weather reporting solutions for railway maintenance. The startup offers weather monitoring and reporting services combining weather forecasts with the network of proprietary Pluvi weather stations. The generated data transfers to control and alert dashboards, optimizing safety, as well as planning and maintenance efficiency, of railway infrastructure.
Lo.La Peak Solutions – Avalanche Warning
Rail operations and construction in mountainous terrain with high avalanche activity require a careful assessment and prediction apparatus. Currently, special commissions responsible for avalanche monitoring rely on personal skills and experience using analog aids for hazard prediction. Therefore, startups develop digital solutions to help the commissioners record, assess, and evaluate avalanche situations, improving rail infrastructure protection.
Lo.La Peak Solutions is an Austrian startup developing a digital decision-support system for avalanche prediction. The system helps with monitoring and documenting avalanche events. Additionally, it enhances the commissioners’ decision-making, increasing speed and efficiency of avalanche warning and prediction for optimization of train movement through high-risk areas. To facilitate the implementation of the digital system, the startup conducts long-term training programs for avalanche commissions.
Heurika Geographics – Sub-Surface Damage Detection
Erosion, flood, and drought damage railroad infrastructure in a way that can go unnoticed on the surface. Such damages, if undetected, lead to gaps and sinkhole formations, significantly disrupting railway operations. Startups develop smart sensor solutions that determine surface integrity and prevent infrastructure from suddenly collapsing.
Singapore-based startup Heurika Geographics develops a solution for detecting below-surface railroad damages. The solution consists of geosynthetic sensors and a sensor assembly. The former is embedded under the rail gauge during construction, disabling the electronic signal when a cavity develops under the sensor. The latter, when pushed along the track, generates electric fields, checking for a response from the sensors. This solution helps identify rail infrastructure damages well in advance to prevent potential disruptions and ensure the safety of rail operations.
ClimaCell – Severe Weather Alerts
Crosswinds or severe weather events impact railway planning and operations. The knowledge of such event occurrences helps with train scheduling and safeguards rail operators against avoidable delays and losses. Startups develop severe and adverse weather alerts to help rail companies optimize operations, maintenance, and overall efficiency.
ClimaCell is a US-based startup providing weather intelligence solutions to rail operators. The startup’s product, ClimaCell, is a weather insights platform that alerts of severe weather events enabling weather tracking and prognosis for predictive route impact forecasting. Additionally, the startup monitors the impact of weather on soil saturation and track bulking. These insights help rail operators to reduce derailment costs, minimize delays, and increase the safety of rail transport.
Discover more Risk Management startups
To keep you up-to-date on the latest technology and emerging solutions, we provide you with actionable innovation intelligence – quickly and exhaustively. You can download our free Railway Innovation Report and discover new business opportunities or save your time & let us look into your areas of interest. We provide you with an exhaustive overview of new startups, scaleups & emerging technologies that matter to you.
