Real-time monitoring of solar panels / wind turbines allows operators to detect and address issues such as faulty inverters or damaged blades. This ensures optimal performance and minimizes downtime. Key metrics like uptime, MTTR & MTBF help track performance. AI-driven predictive failure analysis of components such as inverters, turbine blades, critical physical security surveillance devices, sensors, provides preventative maintenance insights to schedule maintenance & version upgrades.

Protect & monitor far-flung infrastructure like oil rigs, solar farms and windmills from human incidents (theft, vandalism, and unauthorized access) or natural environmental events (earthquakes, floods, winds). Our platform connects to a variety of edge endpoints like industry specific sensors, meters, pressure gauges, spectrometer, IR, & surveillance cameras. Get notified through real-time alerts and notifications and build workflows in software to automate & take corrective actions post incidents.

Monitor equipment conditions, detect hazardous situations, and provide early warnings during emergencies to improve worker safety and reduce the risk of accidents. Get notified when configurations are changed from their optimal settings or even set parameters remotely.

Energy generation patterns, equipment performance, and maintenance requirements. Predictive models to forecast energy output and optimize operations. Analyze Health and vulnerability patterns across device models, firmware versions and locations. Planning Inputs for hardware/software refreshes, equipment purchases & maintenance.

Monitor air quality, noise levels & bird activity around the plant, as well as resource usage, such as water in solar thermal plants or lubrication in wind turbines to optimize resource consumption & reduce waste. Accessing data and devices from a centralized location reduces the need for physical site visits and enables more efficient operation, leading to huge savings in operational costs!

Track energy generation patterns, equipment performance, and maintenance requirements. Utilize predictive models to forecast energy output and optimize operations. Analyze health and vulnerability trends across device models, firmware versions, and locations. These insights guide in planning for hardware/software refreshes, equipment purchases, and maintenance schedules.