eMaint, a cloud-based Computerized Maintenance Management System (CMMS), is an award-winning software that helps organizations improve their ability to manage their maintenance reliability operations, equipment, and compliance. eMaint is suitable for any size company or enterprise. It integrates all the tools they require into one powerful platform, saving companies valuable time and money. It includes maintenance scheduling, work order management, reports and dashboards as well as predictive maintenance, preventive maintenance and mobile maintenance. It also manages inventory management and asset management.
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Redlist is a reliability centered maintenance platform built for industrial teams that need more from their CMMS. Where traditional maintenance software stops at the work order, Redlist continues to the shop floor, tracking every lubrication point, inspection task, and operator action.
The platform runs on web, iOS, and Android with full offline functionality, purpose-built for technicians in plants, mines, and refineries where connectivity is unreliable.
Lubrication Management
Redlist manages lubrication at the individual point level, assigning the correct lubricant, volume, and frequency to every grease fitting, oil drain, and sample port. Routes are executed digitally, replacing paper-based systems and eliminating the pencil-whipping that hides missed tasks. Oil analysis results from labs integrate directly so technicians see condition data alongside their route.
CMMS and Asset Management
Manage assets from the enterprise level down to individual components. Create work orders, build PM templates, track parts inventory, and schedule predictive maintenance. Connects to existing ERP and CMMS systems including SAP, Oracle EAM, JDE, and Maximo, bridging the gap between enterprise software and field execution.
Operator Basic Care
Enable frontline operators to perform guided daily inspections and basic maintenance tasks, building a digital record of institutional knowledge that would otherwise be lost when experienced technicians retire.
AI Agents
Nine purpose-built agents for FMEA analysis, RCM-based PM development, oil analysis interpretation, vibration diagnostics, and lubrication optimization.
Serving mining, oil and gas, chemical processing, food and beverage, packaging, paper and corrugated, and manufacturing. Deployed under 100 days.
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IBM Maximo Application Suite
The IBM Maximo® Application Suite comprises a collection of applications designed for effectively monitoring and managing assets, as well as for predictive maintenance and reliability planning.
Maximo Application Suite enables organizations to maximize the value derived from their enterprise assets through a unified, cloud-based platform that harnesses the power of AI, IoT, and analytics to enhance performance, prolong asset lifespans, and minimize both operational downtime and expenses.
Equipped with IBM Maximo's leading-edge technology, users benefit from adaptable applications for CMMS, EAM, APM, and RCM, all while enjoying simplified installation and management processes, alongside an improved user experience through the integration of shared data and workflows.
Utilizing AI and analytics allows for effective management and maintenance of high-value assets, which not only optimizes their performance but also extends their operational lifecycles and decreases costs and downtime.
By incorporating automated asset inspections that are powered by real-time data and artificial intelligence, organizations can significantly enhance their inspection procedures.
This comprehensive suite ensures that users are well-prepared to meet the challenges of asset management in today’s fast-paced business environment.
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BAE Systems
The Reliability Centered Maintenance (RCM) platform by BAE Systems offers a methodical way to enhance asset upkeep and set safe, optimal maintenance levels for intricate and essential assets. The RCM Toolkit aims to assist organizations in developing a cost-efficient maintenance plan that targets the primary reasons for equipment malfunctions, reduces risks related to safety, environmental issues, and operational disruptions, while also curtailing unnecessary maintenance efforts. Rather than solely depending on preventive maintenance or addressing issues post-failure, the RCM methodology employs a structured decision-making process that weighs risks, costs, and environmental considerations, ultimately prolonging the operational lifespan of the equipment. This comprehensive toolkit aids users in identifying and articulating the maintenance challenges, collecting essential data, specifying equipment functionalities and performance expectations, pinpointing functional failures, determining failure modes, documenting the implications of failures, and choosing maintenance strategies informed by the potential consequences of each failure. By systematically addressing these aspects, organizations can achieve a more reliable and efficient maintenance regime.
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