Stated Problem
Need to measure water consumption in production plants
Solution
Flow and Energy Monitor
The installation solution of Energy and Flow monitor enabled the client to accurately track energy consumption and operational flow efficiency in real time, which led to optimizing resource usage, reducing costs and minimizing environmental impact, thus ensuring more sustainable and efficient operations.
Solution
App and Production Module
Plasticraft found the solution in the versatility of the industrial AI app. The tool allows linking production orders with molds, and availability and maintenance with injection molding machines. By integrating all aspects of their assets, we took to the next level the precision of performance calculation and quality, distinctive characteristics of Plasticraft’s industry and the reason why their customers choose them day after day.
Plasticraft, located in Rosario, Argentina, is a company dedicated to the manufacturing of plastic products. It stands out for its quality, innovation and commitment to sustainability, offering a wide range of packaging and industrial components.
Stated Problem
Need to control their production process.
It is a company with experience in aluminum parts casting based on the following processes: injection, shot blasting, rotofinish, machining, painting and assembly operations for use in transmission, engine mounts and steering systems.
Stated Problem
Solution
Production Monitoring
The ability to obtain data from a wide variety of sensors and PLCs is essential for monitoring diverse processes. Fundemap has, on one hand, a metal injection plant, where cycle time and the number of injections are the most relevant data. On the other hand, in the parts machining plant, it is crucial to measure the efficiency of CNC programs.
This data is constantly processed and integrated with the maintenance module, allowing machine downtime to be reported from each workstation. With the help of industrial artificial intelligence, minimizing bottlenecks becomes a simple and efficient task.
Solution
Production Module
Inventu.Tech found the solution in the versatility of the industrial AI app. The tool allows real-time monitoring of each technology integration project’s status, identifies bottlenecks in development processes, and generates automatic alerts when delivery times are at risk. With customized dashboards and automated quality reports, Inventu.Tech achieved the complete visibility they needed over their production processes, enabling them to make informed decisions and maintain the high standards their clients expect.
Stated Problem
Need to control their production process.
Stated Problem
Need to measure production quantity and machine downtime.
Solution
Production Monitoring
This manufacturing industry, with many years of experience, faced the problem of lacking specific information by product type manufactured at the plant, in addition to the difficulty of sensing machines, many of which are manual hydraulic operated.
With the implementation of Efficast, it was possible to obtain productive and valuable information, associated with production orders and different product types, across all machines in the plant. Thanks to the use of optical
Stated Problem
Need to measure water consumption in production plants
Solution
Flow and Energy Monitor
The installation solution of Energy and Flow monitor enabled the client to accurately track energy consumption and operational flow efficiency in real time, which led to optimizing resource usage, reducing costs and minimizing environmental impact, thus ensuring more sustainable and efficient operations.
Plasticraft, located in Rosario, Argentina, is a company dedicated to the manufacturing of plastic products. It stands out for its quality, innovation and commitment to sustainability, offering a wide range of packaging and industrial components.
Stated Problem
Solution
App and Production Module
Plasticraft found the solution in the versatility of the industrial AI app. The tool allows linking production orders with molds, and availability and maintenance with injection molding machines. By integrating all aspects of their assets, we took to the next level the precision of performance calculation and quality, distinctive characteristics of Plasticraft’s industry and the reason why their customers choose them day after day.
It is a company with experience in aluminum parts casting based on the following processes: injection, shot blasting, rotofinish, machining, painting and assembly operations for use in transmission, engine mounts and steering systems.
Stated Problem
Solution
Production Monitoring
The ability to obtain data from a wide variety of sensors and PLCs is essential for monitoring diverse processes. Fundemap has, on one hand, a metal injection plant, where cycle time and the number of injections are the most relevant data. On the other hand, in the parts machining plant, it is crucial to measure the efficiency of CNC programs.
This data is constantly processed and integrated with the maintenance module, allowing machine downtime to be reported from each workstation. With the help of industrial artificial intelligence, minimizing bottlenecks becomes a simple and efficient task.
Stated Problem
Need to control their production process.
Solution
Production Module
Inventu.Tech found the solution in the versatility of the industrial AI app. The tool allows real-time monitoring of each technology integration project’s status, identifies bottlenecks in development processes, and generates automatic alerts when delivery times are at risk. With customized dashboards and automated quality reports, Inventu.Tech achieved the complete visibility they needed over their production processes, enabling them to make informed decisions and maintain the high standards their clients expect.
Stated Problem
Need to measure production quantity and machine downtime.
Solution
Production Monitoring
This manufacturing industry, with many years of experience, faced the problem of lacking specific information by product type manufactured at the plant, in addition to the difficulty of sensing machines, many of which are manual hydraulic operated.
With the implementation of Efficast, it was possible to obtain productive and valuable information, associated with production orders and different product types, across all machines in the plant. Thanks to the use of optical












