Mumbai,India: Sarla Technologies, leading Automation & Plant IT Solutions provider and Performix, Inc., leader in providing next generation Manufacturing Execution System (MES) solutions today signed a Solution Partnership agreement. Through this agreement, Sarla Technologies will offer solutions on Performix’s xMES® Software Suite within India and the Middle East region and also support Performix in global roll outs of their solution with multinational manufacturing companies.

This strategic partnership and global experience in implementing similar solutions enables Sarla Technologies to offer MES Batch & Recipe Management solutions and to provide customers Best-in – Class solutions to streamline SAP Batch Manufacturing & Plant Floor Execution.

Upon this partnership, Mr. Anil Mehta, CEO of Sarla Technologies says, “Our partnership with Performix brings strong growth opportunities for Sarla Technologies. We can now offer a next generation, tightly integrated yet scalable, “Plant IT Solution” using our global experience, plant data integration capabilities and best in class product platforms of our partners including the GE Intelligent Platform, SAP and Performix.” For more information please visit www.sarlatech.com/performix.html

Mr. Sham Afzalpurkar, President and CEO of Performix, Inc says, “We believe that this New Partnership will deliver great value to the Pharmaceutical, Food and Beverage and Specialty Chemicals industries by offering affordable Plant IT Solutions for Productivity Improvement with the capability to meet Regulatory Compliance with Global Standards.”

Created to accelerate manufacturing visibility and control, the Performix xMES Suite consists of three core components including xRecipe™ for SAP Recipe Editing and Management; xMES®, the Recipe Execution engine; and xBatch™, the Batch Execution Historian. These components combined with SAP ERP and existing plant automation infrastructure encompass the entire Batch Manufacturing Lifecycle – from Recipe creation and management through plant floor execution and post batch analysis.