LLumin
LLumin's CMMS+ is comprehensive software that efficiently manages your assets, facilities, and maintenance operations. With LLumin's CMMS+, you will streamline maintenance workflows, reduce downtime & increase productivity while saving time and money. Key functionality includes asset management, work order management, preventive maintenance, inventory management, reporting & analytics. These features are designed to streamline maintenance operations & maximize the lifespan of your assets. You will reduce maintenance costs, improve asset performance, and increase uptime. With features such as work order management, preventive maintenance, safety-related maintenance tracking, workflows & real-time alerts, LLumin will ensure your equipment and facilities are maintained to regulatory standards and safety protocols, promoting a safe, efficient working environment. Furthermore, you will be empowered to make informed decisions, optimize resource allocations, and improve overall efficiency.
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Brightly Asset Essentials
Brightly Asset Essentials is a cloud-based maintenance solution developed for daily and advanced maintenance operations management. With our software, users can initiate, assign and track the progress of maintenance work orders; manage assets and equipment; develop advanced workflows with preventive maintenance (PM) scheduling; utilize Internet of Things (IoT) technology for predictive maintenance (PdM); and manage inventory. In addition, Asset Essentials has functionality for document management, reporting and mobile capabilities.
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UpKeep
UpKeep is a mobile-first equipment and facilities maintenance software trusted by some of the world's biggest companies. With UpKeep, facility and asset management teams can get better data and enjoy seamless collaboration to improve productivity. It features tools for creating work orders on-the-go, keeping track of all current and upcoming work orders, monitoring the health of locations, assets, equipment, parts, and inventory, and more.
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AWS IoT Analytics
IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.
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