Predictive Quality with ETQ Reliance®
and Acerta LinePulse

Data-driven quality.
Real time decisions.
No surprises.
Data-driven quality.
Real time decisions.
No surprises.

“In a recent ETQ Pulse of Quality in Manufacturing survey 73% of respondents said they had a product recall in the last five years, and 48% said there have been more recalls than there were five years ago.
The ETQ Reliance Predictive Quality solution combines AI technology and expert human knowledge to help identify production problems sooner and resolve them faster to avoid costly, brand-damaging recalls and other quality issues.”
The ETQ Reliance Predictive Quality solution combines AI technology and expert human knowledge to help identify production problems sooner and resolve them faster to avoid costly, brand-damaging recalls and other quality issues.”

Vick Vaishnavi
CEO
Use data and AI for quality
Investing in IIOT and data collection is just the first step. LinePulse leverages machine learning in an easy-to use analytics platform that is designed to empower quality and manufacturing engineers and managers with the insights they need to drastically improve quality KPIs.
Together, ETQ Reliance and Acerta LinePulse form a complete quality management solution to:
- Empower engineers and managers with real-time insights
- Make fast decisions on the shop floor that save time and money
- Reduce the costs of poor quality like scrap and rework
- Increase speed-to-market and stay competitive

Predictive quality alerting integrates both platforms
Acerta LinePulse brings data and machine learning analysis. ETQ Reliance brings human context and cross-functional quality workflows. Here’s how the two platforms work better together to monitor quality from the shop floor.
Data is generated from machines, inspections, and other sources in the factory
Predictive quality alerting looks for upcoming defects
A predictive quality alert triggers a Quality Event in ETQ Reliance
Human context is added in Reliance to qualify the alert
Accuracy is improved for future predictive monitoring
Additional features that LinePulse adds
Manufacturing-specific data ingestion
- Collect, analyze and visualize manufacturing data from different sources all in one place, including process data from sensors, environmental data from inside the plant, test results, and quality inspection data.
Automated capability reporting
- Generate capability metrics reports and filter by time period, model or part numbers, and result
- View analysis from multiple lines and facilities from a single platform
Real time quality KPI monitoring
- Monitor key KPIs like scrap rate and first time through (FTT) rates through a custom dashboard
- View metrics for different lines or plants through a single platform
Data-driven root cause analyis
- When a defect is found, machine learning algorithms generate a list of the most probable root causes in minutes
- Reduce the time it takes to find the cause of a defect from weeks and months to minutes and hours
Results from LinePulse customers
$2.5M
Saved resolving a single issue
500
Hours saved per quality spill
5%
Reduction in scrap rate
30%
Reduction in costs from warranty claims