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SAN FRANCISCO — The data management company Crate.io is introducing its CrateOM software for manufacturers to turn device-level process data into “actionable insights.”
Crate.io is intended to enable digital transformation through real-time insights and in-app communications and help production companies improve cross-functional collaboration and decision making, according to the company in November.
CrateOM runs in the cloud, at the edge, or in a hybrid environment.
The software is designed to enable companies to digitalize processes, streamline operations, and improve process efficiency in several ways: reduce unplanned downtime, increase employee effectiveness, optimize resource utilization, and minimize waste.
The real-time support function that CrateOM offers the workforce includes step-by-step instructions and videos for troubleshooting and training. Issues can be solved in rapid time, and downtime is reduced. These features are enabled through CrateOM partner Manual.to.
CrateOM runs on CrateDB, an open-source database by Crate.io optimized for large data volumes.
The international plastics manufacturer ALPLA Group partnered with Crate.io to develop and run CrateOM across 20 German and U.S. plants as part of its ALPLA Smart Production Program.
ALPLA collects continuous production data, turns it into information, and feeds it back to the floor for specific actions. The company also captures large volumes of raw data for advanced data science in the long term.
“ALPLA has been a great development partner in the creation of CrateOM,” said Eva Schönleitner, CEO, Crate.io. “Together, we saw a need for a smart factory solution that would use the advanced functionalities of CrateDB on the shop floor. With the launch of CrateOM, we want to extend our value offering from data collection to enabling operational data analysis in real time across several plants. We also partnered with Microsoft to ensure CrateOM runs on Microsoft Azure as the primary cloud provider.”
Philipp Lehner, CEO of ALPLA Group, said the company introduced CrateOM because “the system holds great potential for us around process monitoring and process flow digitalization.”
“The system has a high level of scalability and also allows us to work with the learnings the process discovers overtime to improve the system,” Lehner said.
