Intelligent, data-driven building services.

Municipal buildings, facilities and campuses, and public utilities provide the infrastructure upon which we depend for just about everything. The more efficiently and effectively they are run, the greater their contribution to the health, well-being, and safety of all who use them.

Addressing maintenance and other critical infrastructure challenges requires processes that must operate effectively, efficiently and safely. However, a proliferation of sub-systems, hardware devices, and HVAC equipment demand a different approach to solving the infrastructure challenges facing operators.

By employing condition-based monitoring and machine learning, AegisOne™ predicts failures and prevents production issues by identifying and anticipating equipment problems and prescribing focused actions that reduce them. This allows for facilities engineers to solve issues, rather than investigate them – resulting in the ability to drive better operational decisions, anticipate and proactively resolve issues, and ultimately, coordinate resources and processes to operate efficiently, seamlessly, and sustainably.

Results and Outcomes

Easier, smarter facilities management.

AegisOne’s Industrial AI software configured for building management aggregates machine data from critical assets across your facilities and uses data science models to deliver actionable insights. The result: valuable outcomes that matter for your business. Improve building operations, minimize unplanned downtime and financially optimize maintenance schedules.

Drive operational efficiency and productivity.

Improve Overall Equipment Effectiveness (OEE), drive world-class productivity and enable continuous improvement with Industrial AI and machine learning. Further reduce process and product variation and leverage better insights for immediate action.

Improve the reliability of your product.

Detect and resolve anomalies and defects earlier in the process, ensuring world-class quality leaves the dock. Machine learning anomaly detection is a closed-loop detection process that improves first-pass yield, reducing raw material spend, scrap and non-value-add rework costs.

Optimize your labor and energy costs.

Decrease unplanned downtime and hit production targets, reducing the need for overtime or resources for production capacity surges. Predictable production drives more confidence in capacity planning and an optimized financial operating model.

Increase asset availability and reliability.

Improve the work balance of assets and reduce costs associated with idling, starving or blocking equipment. Financially optimize maintenance strategy, applying preventive, predictive and prescriptive maintenance where it drives the most value for the operation.

Turn Data into Outcomes

Ready to implement seamless
execution across sites?

Learn how AegisOne™ can help your business thrive with AI. Request a demo today!