GEMBO 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. 

GEMBO 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. 

GEMBO 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.

GEMBO 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.

GEMBO 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.

GEMBO 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.

GEMBO 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.

GEMBO 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.

GEMBO 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. 

GEMBO 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.

GEMBO 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. GEMBO 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.

GEMBO 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.

GEMBO 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. GEMBO does this through the creation of Industry 4.0 digital twins of HVAC and power generator equipment , by adding connectivity and big data analytics.

GEMBO 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. GEMBO does this through the creation of Industry 4.0 digital twins of the plant equipment , by adding connectivity and big data analytics.