Edge‑to‑Cloud Intelligence for Predictive Machine Reliability
edgeRX™ is an industrial machine health monitoring platform that delivers real‑time insight into equipment condition, so issues can be identified before they impact production.
Using AI, edge computing, and vibration and temperature sensing, edgeRX™ analyzes data directly at the machine to detect abnormal behavior as it happens.
Centralized cloud intelligence provides alerts, trends, and predictive maintenance insights across assets, helping teams improve reliability, reduce unplanned downtime, and scale monitoring as needs grow.
edgeRX™ LYNQ Sensor for Continuous Vibration & Temperature Monitoring
The LYNQ sensor continuously collects and analyzes critical data such as vibration, temperature, and other performance metrics, enabling real-time insights into machine health.
By leveraging advanced edge computing capabilities, the edgeRX™ Sensor processes data locally, reducing latency and ensuring rapid detection of anomalies or potential failures.
Its compact and durable design allows it to be seamlessly integrated into various industrial environments, providing organizations with a scalable and efficient tool to optimize equipment performance and minimize downtime.
edgeRX™ LYNQ Sensor for Continuous Vibration & Temperature Monitoring
edgeRX™ GATEWAY for Secure Data Connectivity and Processing
edgeRX™ AI
AWS Cloud
edgeRX™ Platform
The LYNQ sensor continuously collects and analyzes critical data such as vibration, temperature, and other performance metrics, enabling real-time insights into machine health.
By leveraging advanced edge computing capabilities, the edgeRX™ Sensor processes data locally, reducing latency and ensuring rapid detection of anomalies or potential failures.
Its compact and durable design allows it to be seamlessly integrated into various industrial environments, providing organizations with a scalable and efficient tool to optimize equipment performance and minimize downtime.
The edgeRX™ GATEWAY serves as the system’s central connection point, securely aggregating sensor data and enabling communication with the edgeRX™ Platform. It ensures reliable data flow and supports real‑time alerts and analytics without disrupting existing operations.
The AI and ML capabilities within edgeRX™ are at the core of its advanced industrial machine health monitoring system. Leveraging AI and ML algorithms, edgeRX™ analyzes vast amounts of sensor data in real time, identifying subtle patterns and trends that might indicate potential issues.
These algorithms enable predictive maintenance by forecasting equipment failures before they occur, reducing unplanned downtime and enhancing operational efficiency.
ML models of edgeRX™ continuously learn and adapt to evolving machine behaviors, ensuring increasingly accurate diagnostics and insights over time.
edgeRX™ is powered by AWS to deliver secure, scalable edge‑to‑cloud industrial machine intelligence.
AWS provides the cloud foundation that connects our LYNQ sensors and edgeRX™ gateways, manages AI models, and delivers centralized visibility—while offering enterprise‑grade security, data protection, monitoring, and the ability to scale across multiple sites with consistent performance and centralized control.
The platform reporting feature of edgeRX™ serves as an intuitive and user-friendly interface, providing a centralized view of machine health and operational insights.
Designed with real-time analytics and customizable visualizations, the platform enables users to monitor critical metrics such as vibration, temperature, and overall equipment performance at a glance.
It aggregates data from edge devices and the cloud, presenting it in clear, actionable formats like charts, graphs, and alerts. The edgeRX™ Platform also supports trend analysis and historical comparisons, helping organizations identify patterns and optimize maintenance strategies.
edgeRX™ LYNQ Sensor for Continuous Vibration & Temperature Monitoring
The LYNQ sensor continuously collects and analyzes critical data such as vibration, temperature, and other performance metrics, enabling real-time insights into machine health.
By leveraging advanced edge computing capabilities, the edgeRX™ Sensor processes data locally, reducing latency and ensuring rapid detection of anomalies or potential failures.
Its compact and durable design allows it to be seamlessly integrated into various industrial environments, providing organizations with a scalable and efficient tool to optimize equipment performance and minimize downtime.
edgeRX™ GATEWAY for Secure Data Connectivity and Processing
The edgeRX™ GATEWAY serves as the system’s central connection point, securely aggregating sensor data and enabling communication with the edgeRX™ Platform. It ensures reliable data flow and supports real‑time alerts and analytics without disrupting existing operations.
edgeRX™ Platform
The platform reporting feature of edgeRX™ serves as an intuitive and user-friendly interface, providing a centralized view of machine health and operational insights.
Designed with real-time analytics and customizable visualizations, the platform enables users to monitor critical metrics such as vibration, temperature, and overall equipment performance at a glance.
It aggregates data from edge devices and the cloud, presenting it in clear, actionable formats like charts, graphs, and alerts. The edgeRX™ Platform also supports trend analysis and historical comparisons, helping organizations identify patterns and optimize maintenance strategies.
edgeRX™ AI
The AI and ML capabilities within edgeRX™ are at the core of its advanced industrial machine health monitoring system. Leveraging AI and ML algorithms, edgeRX™ analyzes vast amounts of sensor data in real time, identifying subtle patterns and trends that might indicate potential issues.
These algorithms enable predictive maintenance by forecasting equipment failures before they occur, reducing unplanned downtime and enhancing operational efficiency.
ML models of edgeRX™ continuously learn and adapt to evolving machine behaviors, ensuring increasingly accurate diagnostics and insights over time.
AWS Cloud
edgeRX™ is powered by AWS to deliver secure, scalable edge‑to‑cloud industrial machine intelligence.
AWS provides the cloud foundation that connects our LYNQ sensors and edgeRX™ gateways, manages AI models, and delivers centralized visibility—while offering enterprise‑grade security, data protection, monitoring, and the ability to scale across multiple sites with consistent performance and centralized control.
edgeRX™ GATEWAY for Secure Data Connectivity and Processing
The edgeRX™ GATEWAY serves as the system’s central connection point, securely aggregating sensor data and enabling communication with the edgeRX™ Platform.
It ensures reliable data flow and supports real‑time alerts and analytics without disrupting existing operations.
edgeRX™ AI
The AI and ML capabilities within edgeRX™ are at the core of its advanced industrial machine health monitoring system. Leveraging AI and ML algorithms, edgeRX™ analyzes vast amounts of sensor data in real time, identifying subtle patterns and trends that might indicate potential issues.
These algorithms enable predictive maintenance by forecasting equipment failures before they occur, reducing unplanned downtime and enhancing operational efficiency.
ML models of edgeRX™ continuously learn and adapt to evolving machine behaviors, ensuring increasingly accurate diagnostics and insights over time.
AWS Cloud
edgeRX™ is powered by AWS to deliver secure, scalable edge‑to‑cloud industrial machine intelligence.
AWS provides the cloud foundation that connects our LYNQ sensors and edgeRX™ gateways, manages AI models, and delivers centralized visibility—while offering enterprise‑grade security, data protection, monitoring, and the ability to scale across multiple sites with consistent performance and centralized control.
edgeRX™ Platform
The platform reporting feature of edgeRX™ serves as an intuitive and user-friendly interface, providing a centralized view of machine health and operational insights.
Designed with real-time analytics and customizable visualizations, the platform enables users to monitor critical metrics such as vibration, temperature, and overall equipment performance at a glance.
It aggregates data from edge devices and the cloud, presenting it in clear, actionable formats like charts, graphs, and alerts. The edgeRX™ Platform also supports trend analysis and historical comparisons, helping organizations identify patterns and optimize maintenance strategies.
Benefits of edgeRX™
edgeRX™ offers a range of benefits that help organizations gain deeper machine insight, operate more efficiently, and plan maintenance more proactively.
Reduced Unplanned Machine Downtime
edgeRX™ helps reduce unplanned downtime not only by identifying developing equipment issues early, but by making those insights visible and actionable. With clearer foresight into machine health trends, teams can plan maintenance, secure parts, and even account for long equipment lead times—avoiding surprises that disrupt production and operations.
Longer Asset and Equipment Life
Early detection of abnormal machine behavior enables corrective action before excessive wear or damage occurs, helping extend the usable life of motors, pumps, compressors, and other critical assets.
Improved Maintenance Planning / Prioritization
edgeRX™ provides clearer insight into which machines need attention and when, enabling teams to prioritize work based on actual condition rather than fixed schedules or guesswork—improving efficiency and resource allocation.
Reduced Operational Risk and Firefighting
edgeRX™ helps organizations move away from constant firefighting by providing earlier awareness of developing issues. With fewer surprises on the plant floor, teams experience less operational stress, fewer emergency decisions, and more stable day‑to‑day operations.
Actionable Insight When Time Is the Most Limited Resource
Because edgeRX™ analyzes data directly at the machine, critical insights are generated immediately—without waiting on cloud processing or manual analysis. This speed gives teams more time to act, align stakeholders, and choose the best response, turning time itself into a competitive advantage.
Increased Operational Reliability and Confidence
With continuous insight into machine health, teams can make more informed operational decisions, reduce production risk, and operate with greater confidence in daily performance.
Benefits of edgeRX™
edgeRX™ offers a range of benefits that help organizations gain deeper machine insight, operate more efficiently, and plan maintenance more proactively.
Reduced Unplanned Machine Downtime
edgeRX™ helps reduce unplanned downtime not only by identifying developing equipment issues early, but by making those insights visible and actionable.
With clearer foresight into machine health trends, teams can plan maintenance, secure parts, and even account for long equipment lead times—avoiding surprises that disrupt production and operations.
Longer Asset and Equipment Life
Early detection of abnormal machine behavior enables corrective action before excessive wear or damage occurs, helping extend the usable life of motors, pumps, compressors, and other critical assets.
Improved Maintenance Planning and Prioritization
edgeRX™ provides clearer insight into which machines need attention and when, enabling teams to prioritize work based on actual condition rather than fixed schedules or guesswork—improving efficiency and resource allocation.
Reduced Operational Risk and Firefighting
edgeRX™ helps organizations move away from constant firefighting by providing earlier awareness of developing issues. With fewer surprises on the plant floor, teams experience less operational stress, fewer emergency decisions, and more stable day‑to‑day operations.
Actionable Insight When Time Is the Most Limited Resource
Because edgeRX™ analyzes data directly at the machine, critical insights are generated immediately—without waiting on cloud processing or manual analysis. This speed gives teams more time to act, align stakeholders, and choose the best response, turning time itself into a competitive advantage.
Increased Operational Reliability and Confidence
With continuous insight into machine health, teams can make more informed operational decisions, reduce production risk, and operate with greater confidence in daily performance.
Benefits of edgeRX™
edgeRX™ offers a range of benefits that help organizations gain deeper machine insight, operate more efficiently, and plan maintenance more proactively.
Reduced Unplanned Machine Downtime
edgeRX™ helps reduce unplanned downtime not only by identifying developing equipment issues early, but by making those insights visible and actionable. With clearer foresight into machine health trends, teams can plan maintenance, secure parts, and even account for long equipment lead times—avoiding surprises that disrupt production and operations.
Longer Asset and Equipment Life
Early detection of abnormal machine behavior enables corrective action before excessive wear or damage occurs, helping extend the usable life of motors, pumps, compressors, and other critical assets.
Improved Maintenance Planning and Prioritization
edgeRX™ provides clearer insight into which machines need attention and when, enabling teams to prioritize work based on actual condition rather than fixed schedules or guesswork—improving efficiency and resource allocation.
Reduced Operational Risk and Firefighting
edgeRX™ helps organizations move away from constant firefighting by providing earlier awareness of developing issues. With fewer surprises on the plant floor, teams experience less operational stress, fewer emergency decisions, and more stable day‑to‑day operations.
Actionable Insight When Time Is the Most Limited Resource
Because edgeRX™ analyzes data directly at the machine, critical insights are generated immediately—without waiting on cloud processing or manual analysis. This speed gives teams more time to act, align stakeholders, and choose the best response, turning time itself into a competitive advantage.
Increased Operational Reliability and Confidence
With continuous insight into machine health, teams can make more informed operational decisions, reduce production risk, and operate with greater confidence in daily performance.
