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

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

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

Identifying the earliest indicators of engine misfires in real time.     

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

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