Our smart solutions help segregate between dead, low load and high load machines for smooth operating. It also helps identify the high return and low return machines giving us an edge in resource optimization.

We develop Supervised & non- supervised ML algorithms for failure detection with 97.2% real-time accuracy. They provide data on circumstances and time under which real breakdown happens and alert you to minimize downtime.

We develop algorithms for real-time servicing data prediction. The main goal behind PM is for the equipment to make it from one planned service to the next planned service without any failures caused by fatigue, neglect, or normal wear (preventable items).

Our smart solutions detect anomalies in factory operations and deliver immediate response. This helps in fixing the problems quickly, prevents breakage and reduces downtime. It can also help prevent fatal accidents.

With the assistance of real-time sensor monitoring, industries save about 70% of their time due to automated alert system.