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

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

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

Identifying the earliest indicators of engine misfires in real time.     

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

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