Real-time data ingestion

Critical data such as machine signals, part attributes, process data, test results, and environmental data are ingested in real time, enabling on-demand machine learning analysis.

Automated root cause analysis

When a part fails a test, LinePulse generates a list of the most likely contributors to the failure, making root cause analysis investigations faster.

Quality event prediction

Machine learning algorithms monitor machine sensor data for any patterns that might indicate a defect, allowing engineers to intervene much earlier in the process.