Configure insight and condition rule functions so technicians can use data to enable predictive maintenance and proactive responses.
Leverage stored machine and equipment data to analyze long-term trends, identify patterns, and optimize processes.
Generate immediate insights and notifications based on digitized analytic logic that runs in real time on streaming machine and sensor data.
Use off-the-shelf machine learning modules from Exosite’s marketplace or easily integrate your own tools to continuously improve insights from connected equipment.
Leverage retroactive analytical insights to begin projecting future device behavior to proactively limit downtime.
Enable systems that predict behavior, self-diagnose failure, and adapt to new device conditions.
Use analytics and real-time insights to improve service-call efficiency and increase service revenues.
For many organizations, condition monitoring is sufficient to start. ExoSense offers more complex functionality, like machine learning and streaming analytics, whenever you’re ready.
Quickly compare signals, switch between real-time and historical-time periods, and export data as images or tabular data files.
Off-the-shelf modules provide algorithms for anomaly detection, signal forecasting, and cross comparisons. Integrate custom algorithms to support more complex calculations and insights.