Litmus, the Intelligent Edge Computing Platform for Industrial Internet of Things, and ProcessMiner, an artificial intelligence platform for manufacturing, today announced a partnership to cross-promote their industry-leading platforms to offer manufacturers a system that includes real-time data collection, analysis, prediction, and process recommendations for continuous improvement.
Litmus provides the data intelligence platform to quickly collect, normalize and analyze high volumes of live data from industrial assets and make it available to operations technology and information technology systems via edge-to-enterprise integration. The ProcessMiner program uses machine learning and sensor data to model, predict, and prescribe process control recommendations for product quality improvement purposes.
"Litmus offers something to our customers that is mission-critical," said Karim Pourak, CEO and co-founder, ProcessMiner. "As customers invest in technology to improve product quality, reduce scrap rates and improve yield, secure access to the incoming data has to be accurate and normalized to ensure the integrity of our predictions and recommendations downstream. Litmus solves that problem for us."
"Process improvement is one of the primary goals for our customers and partnering with ProcessMiner allows us to give them an even stronger offering with cutting-edge AI technology," said John Younes, co-founder and chief operations officer, Litmus. "We provide the intelligence at the edge, and the power of ProcessMiner's AI will go a long way toward driving measurable ROI [return on investment] for customers looking to further predict quality and make actionable recommendations for manufacturing processes."
One of the unique benefits of the Litmus platform is the bidirectional data and signal delivery capabilities for machines on the factory floor. The Litmus platform quickly collects and normalizes data in real-time at the edge.
After Litmus delivers data to the ProcessMiner platform, the corrective action or recommendation signals can securely and automatically be sent back to the appropriate machine controller using Litmus Edge. Those signals drive process control activities on the machine automatically, delivering corrective action(s) in real-time.
Under terms of the agreement, both organizations will promote their respective platform capabilities throughout the manufacturing industry.
