eMaint CMMS
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.
Learn more
The Asset Guardian EAM (TAG)
The Asset Guardian (TAG) Mobi: Tackle Downtime with TAG Mobi
TAG Mobi is a fully embedded preventive maintenance and asset management (EAM) solution within Microsoft Dynamics 365 Business Central. Designed for modern manufacturing and infrastructure operations, TAG Mobi helps reduce risk, minimize downtime, and streamline maintenance workflows—all from within your existing Business Central environment.
From proactive asset health monitoring and predictive maintenance to real-time mobility and AI-powered adoption tools, TAG Mobi equips maintenance teams with everything they need to boost performance and take control of asset operations.
Key Features:
• Fully embedded in Microsoft Dynamics 365 Business Central
• Real-time mobile access for on-the-go asset tracking
• Predictive maintenance to reduce unplanned downtime
• AI-assisted onboarding for faster adoption
• Advanced APM tools to monitor asset health and anticipate failures
No silos. No extra software. Just a seamless, native experience that empowers maintenance teams and provides managers with the insights they need—right inside Business Central.
Learn more
Aspen Mtell
Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.
Learn more
Accruent Observe
Accruent Observe offers a comprehensive IoT solution for remote monitoring, management, and energy optimization across various types of equipment, aimed at enhancing energy efficiency and operational performance while also predicting equipment failures, improving air quality, and ensuring compliance with commercial refrigeration standards.
By maintaining facilities and assets at their optimal performance levels, organizations can effectively meet both compliance requirements and financial objectives. Unplanned downtime can be significantly reduced by pinpointing the exact moment an asset starts to fail, allowing for proactive maintenance to address issues before they escalate. This approach enables businesses to replace equipment solely when necessary instead of adhering to arbitrary schedules, leading to a reduction in unnecessary service costs and overall maintenance expenditures.
Moreover, users can identify which locations and equipment are the largest energy consumers, enabling real-time monitoring of energy usage, with the capability to filter by energy type or date range, thus facilitating timely corrections of excessive energy consumption. Additionally, from the initial purchase to disposal, organizations can gain complete visibility into the entire lifecycle of refrigerant usage, ultimately resulting in substantial cost savings. Finally, by leveraging data analytics, businesses can make informed decisions that further enhance operational efficiency and sustainability.
Learn more