Discover 5 Top Machine Learning Solutions impacting Heavy Industries

Curious about new technological advancements in the heavy industries? Explore our analysis of 851 global startups & scaleups and learn how their machine learning (ML) solutions impact heavy industries!

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into heavy industries. This time, you get to discover five hand-picked startups developing machine learning solutions impacting heavy industries.

Out of 851, the Global Startup Heat Map highlights 5 Top Machine Learning Solutions impacting Heavy Industries

The insights of this data-driven analysis are derived from the Big Data and Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups and scaleups globally. The platform gives you an exhaustive overview of emerging technologies and relevant startups within a specific field in just a few clicks.

The Global Startup Heat Map below reveals the distribution of the 851 exemplary startups and scaleups we analyzed for this research. Further, it highlights five 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 five startups and scaleups in this report. For insights on the other 846 machine learning solutions for heavy industries, get in touch with us.

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dida simplifies Mining Operation Monitoring

Founding Year: 2016
Location: Berlin, Germany
Partner with dida for Satellite-based Mine Monitoring

dida is a German startup that develops an ML-based solution for mining operation monitoring. The startup’s solution combines geological maps and reports with satellite or drone imagery to continuously monitor site operations. It tracks the condition of haul roads, quantifies production volume by volumetric analysis of stockpiles, and evaluates tailings dam stability. The startup’s solution thus improves the sustainability and security of mining operations.

Raynumeric facilitates Asset Monitoring

Founding Year: 2017
Location: Bangalore, India
Innovative with Raynumeric for Process Automation

Raynumeric is an Indian startup that provides simulation and monitoring solutions using numerical calculation and methodologies. The startup creates and deploys digital twins of industrial assets combining the Internet of Things (IoT), machine learning, and cloud computing. The digital twins enable predictive maintenance, preventing downtime, failures, and unplanned outages as well as providing an accurate prediction of the remaining useful life of the asset. The startup’s solution reduces operational and maintenance costs and finds use in the aerospace, manufacturing, and shipbuilding industries.

Avenirre provides Business Intelligence to Oil & Gas (O&G) Companies

Founding Year: 2018
Location: Fort Worth, USA
Innovate with Avenirre for Lease Operating Expense (LOE) Reduction

Avenirre is a US-based startup that develops a cloud-based platform to provide business intelligence for upstream oil and gas operations. The startup’s platform uses ML algorithms and proprietary hardware to provide an integrated solution for data hosting, operational control, and reservoir optimization. It offers operating cash-flow projections and facilitates positive revenue asset management. Moreover, the platform features a multivariate reserves estimation dashboard with automated forecasting, which allows O&G asset operators to optimize production.

Cascadia Scientific enables Fuel Monitoring

Founding Year: 2018
Location: Surrey, Canada
Use this solution for Heavy Equipment Fuel Management

Canadian startup Cascadia Scientific offers an ML-based vehicle fuel measurement and analytics platform that facilitates data-driven decision-making for heavy equipment. The startup’s platform, SmartRView, collects high-frequency parameters like fuel flow, road grade, speed over ground, and geolocation, among others. Cascadia’s ML algorithm analyzes these data and identifies fuel intensity hot spots in the vehicle’s route and other efficiency mappings. This provides insights to improve route planning and fuel procurement, allowing equipment owners to increase the sustainability of operations and save fuel costs.

Wavely enables Predictive Maintenance

Founding Year: 2017
Location: Villeneuve-d’Ascq, France
Use this solution for Machine Anomaly Detection

French startup Wavely develops a plug-and-play predictive maintenance solution for the O&G industry. The startup’s device easily attaches to the casings of industrial pumps and motors. It houses both acoustic and vibration sensors that collect and transfer data to the startup’s mobile application. The ML-based app displays the machine status and production statistics as well as raises real-time alerts on detecting anomalies. Automatic and early anomaly detection increases uptime and, in turn, reduces operational costs.

Discover more Startups

Startups such as the examples highlighted in this report focus on process optimization, asset monitoring as well as AI, digital twin, and advanced analytics While all of these technologies play a major role in advancing heavy industries, they only represent the tip of the iceberg. To explore heavy industry solutions in more detail, let us look into your areas of interest. For a more general overview, download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.

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