Adoption metrics, engineering testimonials, and partners already integrating our CPS architectures into their production lines.
Production Results
“The predictive monitoring system alerted us to a main shaft failure 48 hours in advance. We were able to schedule the replacement without stopping production. In three months, we reduced unplanned downtime by 34%.”
Predictive Monitoring“The CPS sensor network detected temperature deviations in the ripening chamber that the previous system did not record. We now classify batches in real time and avoid losses from out-of-spec product.”
Quality Control“The digital twin allowed us to test warehouse redistribution without moving a single pallet. Dynamic picking routes reduced travel distances by 22% in the first week. Integration with our WMS was seamless.”
Digital TwinDirect links to our technical communication channels and professional networks.
Our approach to cyber-physical systems is distinguished by deep integration with production logic, not by adding layers of generic software.
We process data on the factory floor itself, not in the cloud. This reduces latency to milliseconds and enables real-time control decisions without relying on an external connection.
Each implementation includes a virtual model that replicates the flow of materials, sensors, and actuators. Operators can simulate changes before applying them to the actual line.
We do not replace your current infrastructure. Our CPS connect directly with the programmable logic controllers and supervisory systems already in use at your plant.
We have implemented solutions in plants in Córdoba, Buenos Aires, and Rosario. Each project has concrete metrics for reducing downtime and improving production quality.