Atachi Systems: NGIMES: Unlocking Real-time Operational Excellence

It is often assumed that only big manufacturing players can implement MES (Manufacturing Execution System) Technology. MES technology tracks and documents the transformation of raw materials through finished goods and provides right information at the right time. With an industry presence of more than a decade, Atachi Systems has been a provider of the cloud-based MES Technology that reduces dependencies on infrastructure, lowers maintenance costs, and improves access to real-time visibility of shop-floor operations for engineers and managers. MES data projects the current conditions on the plant floor to the decision maker and optimizes to improve production output.

“Taking a step back, embracing MES required a heavy investment and committed IT managers to operate and maintain the application. As many vendors operated on the legacy systems, the industry lagged behind to adapt itself to latest technologies like mobile platform, in-memory technology. Today things have changed,” begins Mekala S. Rao, President and Founder, Atachi Systems.

The company has developed a cloud-based platform called NGIMES— quick to configure and easy to develop application, which runs on mobile devices or browser. The app doesn’t have a historical database and doesn’t encourage ETA (Extraction, Transfer, and Loading), which are not robust as compared to other MES products and that makes it unique. “With NGIMES, companies don’t have to invest and spend on infrastructure or require any IT workforce to own the application to gain a real-time visibility,” explains Rao. The company has been implementing MES for medical devices, electronics for the last 7 to 8 years and is giving early adapters one to two years of free licenses.

Apart from the cloud, Atachi Systems leverages SAP Hana technology, which can handle massive amount of data and also the existing data in the silos. The larger players have numerous manufacturing facilities globally, but they are not connected. And they need a biginfrastructure to roll it across different data center or data warehouse to get a consolidated view of those plants.