GEM Precare Edge performs complex edge processing of machine digital twin data in real-time for latency-sensitive tasks, such as status and alarm notifications, as well as machine vision. 

GEM Precare Cloud performs machine data aggregation and storage, training and validation of machine learning models for machine vision and predictive maintenance, computation of KPIs, and display of data on dashboards. 

GEM Precare Dashboards are highly customizable and can collect a variety of different types of information, such as KPIs, statuses, alarms and trends. Reports can made to run automatically at set intervals.

GEM Precare KPIs provides real-time insight into important aspects of any input-output system, such as manufacturing equipment, HVAC system, power generator, etc. Therefore providing insight where corrective action needs to take place in order to maximize equipment availability for a positive impact on overall equipment effectiveness.

GEM Precare PdM provides predictions in terms of the probability that maintenance is required x number of days from the present, using sequences of historical data. Such predictive maintenance capabilities allow for just-in-time maintenance as opposed to regularly scheduled maintenance, therefore maximizing equipment availability and hence positively impacting overall equipment effectiveness.

GEM Precare Reports are highly customizable and can collect a variety of different types of information, such as KPIs, statuses, alarms and trends. Reports can made to run automatically at set intervals.

GEM helps semiconductor manufacturers gain real-time insights in the overall effectiveness of their factories and production lines, so that corrective actions can be taken in order to boost overall effectiveness and corporate bottom lines.

GEM helps electronics manufacturers to gain real-time insights in the overall effectiveness of their factories and production lines, so that corrective actions can be taken in order to boost overall effectiveness and corporate bottom lines.

GEM helps manufacturers regardless of manufacturing industry, gain real-time insights in the overall effectiveness of their equipment, so that they can immediately take corrective actions in order to boost overall effectiveness and corporate bottom lines. 

GEM helps companies in the power generation industry gain real-time insights in the overall effectiveness of their equipment, so that corrective actions can be taken in order to boost overall equipment effectiveness and quality of service.

GEM helps hospitals and clinics gain real-time insights in the overall effectiveness of their equipment, so that corrective actions can be taken in order to boost overall equipment effectiveness and patient care. GEM does this through the creation of Industry 4.0 digital twins of their patient diagnostics and monitoring equipment by adding connectivity and big data analytics required to increase overall equipment effectiveness and quality of patient care.

GEM helps companies in the hospitality industry gain real-time insights in the overall effectiveness of their equipment, so that corrective actions can be taken in order to boost overall effectiveness and corporate bottom lines.

GEM helps building managers gain real-time insights in the overall effectiveness of their climate control systems and backup power generators , so that they can immediately take corrective actions in order to boost overall equipment effectiveness and occupant comfort , while reducing building energy consumption and truck-rolls. GEM does this through the creation of Industry 4.0 digital twins of HVAC and power generator equipment , by adding connectivity and big data analytics.

GEM helps city utilities managers gain real-time insights in the overall effectiveness of their waste processing, power, water purifier plants, etc. , so that they can immediately take corrective actions in order to boost overall plant effectiveness and public service quality. GEM does this through the creation of Industry 4.0 digital twins of the plant equipment , by adding connectivity and big data analytics.