TimeXtender powers 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 2 countries.
Hyperscaler mix
Filter TimeXtender's implementations by cloud provider evidence.
Build / Buy / Compose across this partner's documented cases
1 of 2 cases classified (50%) · Compare all use-case types
Reported outcomes
2 cases report measurable results
−39.5%
Time & speed
median · 2 metrics
−49%
Cost savings
median · 1 metric
Medians of results published in TimeXtender cases, normalized for comparability. See all benchmarks →
Evidence persistence
2 of 2 judgeable cases are still publicly referenced · 2 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
Several leading manufacturing companies—including Tikkurila, Husky Technologies, 3M, Komatsu Australia, and Dow—have transformed their operations through predictive maintenance pow...
Komatsu Australia, a leading machinery manufacturer, struggled with siloed data spread across multiple platforms, causing accessibility issues, delays, and operational inefficiencies. They embarked on a digital transformation journey to unify data sources, achieve real-time analytics, and empower both employees and customers with actionable information. The company chose TimeXtender Discovery Hub implemented on Microsoft Azure cloud, leveraging Azure SQL Database Managed Instance as a consolidated data store. Power BI was rolled out for business intelligence, providing dynamic dashboards for decision-making. This transformation has enabled significant cost and performance improvements, streamlined reporting, minimized risk of data errors, and improved clarity for management and staff. Telemetry data from over 30,000 active machines is now unified, enabling more advanced analytics and insights. Future plans include expanding AI predictive analytics and increasing mobile and desktop access to business intelligence.Data across multiple systems created delays and risked errors, making analysis slow and manually intensive. Stock and part reports that took up to 10 hours now run instantly, improving inventory management and transparency.Staff and customers now access unified, accurate information instantly, enabling better service and informed decision making. Komatsu’s platform now processes roughly a million records per day and scales as data volumes grow.Employees across the company are supported by Power BI dashboards, and customers benefit from insights derived from IoT telemetry data. Komatsu expects the new data platform to be a blueprint for global operations, with scalable Microsoft cloud services set to support decades of growth.