Take action with model-based IoT analytics

Seebo IoT Analytics powers condition monitoring, predictive maintenance,
smart factories and digital twin solutions

Get Demo

Take action with model-based IoT analytics

Seebo IoT Analytics powers condition monitoring, predictive maintenance, smart factories and digital twin solutions

Get Demo
IoT Analytics - Get to the root cause of issues

Gain full visibility into equipment health

Seebo analytics integrates machine data from PLCs, sensors, ERP and historian data sources to generate actionable insights that maximize overall equipment effectiveness (OEE), reduce unplanned downtime, and uncover the root cause of issues. Inside the Seebo platform, users define the performance metrics and use cases important to their business. Once the IoT system is deployed, Seebo analytics alert operations managers about the real-time condition of machinery, equipment and the factory environment, inside digital twin dashboards that provide model-based context.

Gain full visibility into equipment health

Seebo analytics integrates machine data from PLCs, sensors, ERP and historian data sources to generate actionable insights that maximize overall equipment effectiveness (OEE), reduce unplanned downtime, and uncover the root cause of issues. Inside the Seebo platform, users define the performance metrics and use cases important to their business. Once the IoT system is deployed, Seebo analytics alert operations managers about the real-time condition of machinery, equipment and the factory environment, inside digital twin dashboards that provide model-based context.

IoT Analytics - Get to the root cause of issues

Get to the root cause of issues

Users get a unique and intuitive HMI to visualize and analyze the performance of production lines and machines. By drilling through a digital twin of your deployments – with analytics dashboards and alerts at each level of the digital twin – you will quickly pinpoint performance anomalies and their root cause. In addition to maximizing uptime, manufacturers can proactively address issues for their customers ahead of machine failure.

IoT Analytics - Gain full visibility into equipment health

Get to the root cause of issues

Users get a unique and intuitive HMI to visualize and analyze the performance of production lines and machines. By drilling through a digital twin of your deployments – with analytics dashboards and alerts at each level of the digital twin – you will quickly pinpoint performance anomalies and their root cause. In addition to maximizing uptime, manufacturers can proactively address issues for their customers ahead of machine failure.

IoT Analytics - Gain full visibility into equipment health
IoT Analytics - Anticipate failure before it happens

Anticipate failure before it happens

Predict when an asset will fail and the reason for failure with Seebo advanced analytics.  Machine learning algorithms are applied to historical data on machine failure, repairs, operating conditions and maintenance requirements, to enable operators to carry out maintenance with minimal downtime and maximum asset life.

Anticipate failure before it happens

Predict when an asset will fail and the reason for failure with Seebo advanced analytics.  Machine learning algorithms are applied to historical data on machine failure, repairs, operating conditions and maintenance requirements, to enable operators to carry out maintenance with minimal downtime and maximum asset life.

IoT Analytics - Anticipate failure before it happens

Increase customer satisfaction for OEMs

Introduce data-driven aftermarket services for your customers, from predictive maintenance reports to a technician dispatch service. Lower the time and costs to address issues reported by your customers, with digital twin dashboards that allow your custom service to visualize the real-time operational health of deployed machines.  Receive smart alerts with predictive metrics based on key machine parameters, such as machine temperature, pressure, vibration, humidity, fatigue, and wear in order to quickly identify and solve issues remotely.

IoT Analytics - Increase Customer Satisfaction

Increase customer satisfaction for OEMs

Introduce data-driven aftermarket services for your customers, from predictive maintenance reports to a technician dispatch service. Lower the time and costs to address issues reported by your customers, with digital twin dashboards that allow your custom service to visualize the real-time operational health of deployed machines.  Receive smart alerts with predictive metrics based on key machine parameters, such as machine temperature, pressure, vibration, humidity, fatigue, and wear in order to quickly identify and solve issues remotely.

IoT Analytics - Increase Customer Satisfaction