Predicting engine failures with 93.3% accuracy, accelerating diagnosis and root cause analysis.

AI recommendations for axle assemblies reduce rework rate by 65%.     

Identifying faulty EPS systems with 0% false negatives and <1% false positives.

Identifying the earliest indicators of engine misfires in real time.     

Identifying gear tooth fractures that were missed in end of line testing.

Reducing signals that required manual investigation for root cause analysis by 99.75%.