Case Study: Inwatec ApS achieves faster laundry operations and better troubleshooting with Elastic

Building the future of laundry robotics with Elastic

Inwatec ApS is a Danish robotics company that builds advanced software and smart machinery to automate industrial laundry workflows. As its fleet and operations grew, Inwatec needed better insight into machine logs and performance data than its old raw-log, manual-regex process could provide. It also wanted a simpler way for plant managers and service teams to monitor throughput, troubleshoot issues, and support customers faster using Elastic and Elastic Cloud on AWS.

Elastic helped Inwatec modernize log collection, analyze telemetry at scale, and surface machine statistics in Kibana for office-based access to live and historical performance data. With Elastic, Inwatec improved bug resolution and reduced MTTR, enabled faster troubleshooting and spare-parts decisions, and gave plant managers self-service visibility into bottlenecks. The solution also became a sales and innovation tool, helping Inwatec demonstrate its system’s value and laying the groundwork for predictive maintenance.

Inwatec ApS

Alex Holberg

Software Engineering