Manufacturing Analytics to Maximize Product Quality and First Pass Yield
QualityLine unifies SMT, test, repair, and MES data into one AI-powered platform that gives engineering and quality teams real-time visibility, automated root cause analysis, and predictive alerts on process issues that impact yield.
See how QualityLine detects defect patterns across production systems and predicts failures before they impact your line.
You collect massive amounts of manufacturing data BUT how much of this data is actually in use to control and optimize your manufacturing?
Modern factories generate massive volumes of data, but availability alone does not create insight. This data exists in endless formats and structures, spread across different machines, systems, and locations (SMT, Testing, repair, sensors, MES, ERP, manual data).
SMT
IsolatedTesting
IsolatedSensors
IsolatedMES / ERP
IsolatedManual Data
IsolatedRepair
IsolatedSilo A
- Incompatible schema
- No traceability
Silo B
- Different timestamps
- Partial records
Silo C
- Manual formats
- No correlation
Unified analysis not possible
- Data cannot be unified and analyzed across the full production process
- Root cause analysis is slow and inaccurate
- Quality and efficiency issues are detected too late
- Engineers and quality teams lack end-to-end visibility and control
Without integrating and unifying all of your manufacturing data, data analysis cannot deliver real value to monitor and optimize your product quality and manufacturing efficiency.
Automated and Fast Integration of ANY Manufacturing Data Source
QualityLine was built specifically to solve the manufacturing data challenge.
Automated data integration from factory systems
Connects to production environments without manual data stitching.
No API and no changes to customer data structures
Works with what you already have—no reformatting required.
Real-time data collection into a unified Digital Twin database
Builds a consistent, contextual view across the full process.
Works alongside existing MES and ERP systems
Complements current infrastructure—no replacement required.
Global End-to-End Control Through Manufacturing Analytics
QualityLine connects the full manufacturing flow — from data capture to unified context to analytics and AI — so teams can move from reactive firefighting to controlled, end-to-end execution.
Data Collection
QualityLine automatically collects real-time data from production lines, testing stations, sensors, and enterprise systems.
Data Unification
All manufacturing data is unified into a Digital Twin single-structure database — creating full production context across factories, lines, and processes.
Analytics & AI
On top of unified data, QualityLine delivers analytics and AI for end-to-end control.
WHAT YOU GET ON TOP OF UNIFIED DATA
- AI-based anomaly detection
- Automated root cause analysis
- Predictive analytics for quality and efficiency
- Alerts, reports, and dashboards for end-to-end control
KEY POINT
Manufacturing analytics only work when the data is unified first.
Trusted by Leading Manufacturers Worldwide
100+ companies use QualityLine’s AI analytics to improve quality, yield, and manufacturing efficiency — with measurable ROI.
With QualityLine AI analytics platform, we are able to drill down into each unit, component, and problem to quickly identify the root cause.
Using QualityLine’s customized solution, Emerson improved its first pass yield by 22%. The implementation had a strong impact on data accuracy and production visibility.
With the QualityLine AI analytics, I identified 2–3 parameters in the process that are creating 90% of the out-of-spec issues.
All Molex production quality management teams are using the practical and powerful QualityLine AI technology on a daily basis.
Exceptionally flexible system that adapts to our operational needs, unlike SAP and other solutions we reviewed.
With QualityLine, we achieved continuous efficiency improvements over three years, representing significant cost savings.
See What Was Never Visible Before
- – Partial data collected from isolated systems
- – Manual analysis across spreadsheets and reports
- – Root cause investigations taking days or weeks
- – Late detection of quality and efficiency issues
- ✓ End-to-end visibility across the full manufacturing process
- ✓ Early detection of anomalies and evolving failures
- ✓ Faster root cause identification
- ✓ Predictive insights instead of reactive firefighting
AI technology
- Prediction of failures
- Automatic root cause analysis
- Automatic alerts
- Anomaly detection
quality
- Increase first pass yield
- Reduce product failures
- Reduce returns of faulty products
- Optimize product design
efficiency
- Increase production capacity
- Avoid downtime
- Predictive maintenance
- Reduce production cost
AI-Driven Root Cause Analysis and Prediction
QualityLine’s AI technology is designed specifically for manufacturing environments.
- ✓Anomaly detection using production, testing, and sensor data
- ✓Predictive failure analysis
- ✓Automated root cause analysis
- ✓Adaptive learning as processes evolve
QualityLine uses multiple AI models, including:
Siemens
Stanley Black & Decker
Securitas Healthcare
General Electric
Emerson
Motorola Solutions
AECPL
Jabil
Schneider Electric
Molex
Midea
Flex
