Global

Automotive & Safety Systems

The Challenge

In critical automotive systems, small hazards often grow dangerous after hardware or software changes. Without early detection, this can cause late failures and break ISO 26262 rules.

Automotive Safety Visualization

Key issues:

  • Hidden environmental risks (fog vs dry conditions)
  • No clear trends in hazard type changes
  • ASIL ratings not matching real-world risk
  • Unknown triggers for hazard escalation
  • Manual, slow pattern detection

What We Did:

We used AI analytics to spot and explain risks early:

  • Linked conditions like fog to higher RPNs
  • Found which hazard types escalated and why
  • Checked if ASIL ratings stayed accurate over time
  • Predicted low-risk hazards likely to become critical
  • Automated complex pattern recognition in seconds

The Results:

  • Continuous, automated hazard tracking for ISO 26262 compliance
  • Early warning on escalation triggers
  • Analysis time cut from hours to minutes
  • Actionable fixes for sensors and risk controls
  • Safer, more reliable systems backed by data