LinePulse
Turn Insight into Efficiency
Acerta’s LinePulse platform utilizes automotive product and production data to enhance testing, accelerate root cause analysis, and improve throughput.
Automotive Intelligence
LinePulse is based on a domain-specific architecture designed for optimal performance when analyzing datasets from transmissions, axles, gearboxes, engines, and other automotive components and assemblies.
Industrial-Grade AI
LinePulse is built to facilitate the development, deployment, and maintenance of machine learning models for automotive manufacturing applications, delivering AI-curated data directly to line engineers for optimal decision making.
Complete Unified Coverage
Acerta's architecture is capable of ingesting both manufacturing and in-service data into a single machine learning platform, normalizing it across all sources to yield insights throughout the entire product life cycle.
LinePulse Modules
Smart Line Analytics
Enhance Data Visibility
Smart Line Analytics
"...reduced time for root cause analysis from 2 weeks to 1 hour."
"...eliminated 99.75% of signals requiring manual investigation during RCA."
Learn How
"...eliminated 99.75% of signals requiring manual investigation during RCA."
Intelligent Component Selection
Optimize Throughput
Intelligent Component Selection
"...achieved a 65% reduction in failure and rework rates, leading to a significant improvement in FTT and cost reductions for the client."
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Advanced Anomaly Detection
Maximize Quality
Advanced Anomaly Detection
"...detected 40% of gearboxes that passed EOL but failed under warranty."
"...achieved a 0% false negative rate and <1% false positive rate."
Learn How
"...achieved a 0% false negative rate and <1% false positive rate."
Insights with
Real Impact
Acerta's clients have used LinePulse to cut their defect rates, reduce line stoppages, and improve throughput.
Case Studies
Faulty Transmissions
Smart Line Analytics reduces signals requiring manual investigation for root cause analysis by 99.75%.
EPS Vibration Testing
Smart Line Analytics identifies faulty electric power steering systems with a false negative rate of 0% and false positive rate of <1%.
Engine Failure Modes
Advanced Anomaly Detection predicts engine failures with 93.3% accuracy, enabling technicians to identify and diagnose issues more quickly.
Predicting Gearbox Failures
Advanced Anomaly Detection identifies gear tooth fractures that were not detected during End of Line testing, saving €2M in warranty costs.