Upgrading from electrochemical models to machine learning for more dynamic analysis.   

AI Recommendations Reduce Rework Rate by 65%.           

Predicting engine failures 400km in advance using ECU data.       

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%.

Using vehicle data to detect changes in road surface in <1 second.

Detecting steering misalignments and loose suspensions with 100% and 95.8% accuracy, respectively.

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

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

Identifying the earliest indicators of engine misfires in real time.     

Reducing time for root cause analysis from 2 weeks to 60 minutes.