Assess the performance of entire plants, machines and processes in real-time and feed data into predictive and machine learning models.

Identify root causes for poor tool performance, process variation, defects, and yield loss; especially spatially and temporally.

Support sensors generating measurements and events millions of times per second.

Deliver data and insights in milliseconds to where they are needed. Visualize data and analytics in real-time for anomaly detection and decision making.

Actively minimize yield loss and improve tool/process health using corrective actions.

Process/tool fault detection, processing efficiency, product yield and quality.

Reduced cost of operations with reduced cost of data management and infrastructure.

Extended useful life of assets and asset productivity with real-time monitoring of assets and predictive maintenance.

Significantly improved time to results with high-speed data ingestion, processing and analytics.

Ingest data from sensors, assets, processes, files & logs, databases, messaging systems.

Kx Fusion integration framework facilitate integration and coexistence with your existing systems including MES, ERP, SPC, historians, message buses and protocols.

APIs and library of software interfaces for synchronizing master and reference data (to provide context) with other systems, including assets, locations, sensors, sensor measurements, jobs, projects, and tests.

Deliver data and analytics to applications, assets, dashboards, third party databases and machine learning platforms, and cloud on-demand.

Make data immediately available to downstream systems while supporting ad-hoc queries and machine learning on streaming and historical data.

An Integrated Development Environment (IDE) and Dashboards enable users to customize and extend product capability for your specific use cases in areas like fault detection, process control and yield ramp where access to a large amount of data is critical.