Millions are being invested in autonomous mobility technologies, from sensors and AI models to simulation environments and vehicle platforms. Yet many AV programs continue to face delays in validation, safety assurance and deployment readiness. The reason is simple: autonomous systems can only perform as well as the data used to train, validate and improve them. From sensor coverage and edge-case intelligence to annotation quality and governance, data curation has become a critical determinant of autonomous vehicle success.

Why Take This Assessment?

This practical 5-step assessment helps autonomous mobility leaders evaluate the maturity of their data operations and identify gaps that may be slowing deployment readiness. By benchmarking your current capabilities, you can uncover improvement opportunities, prioritize investments, and build a stronger foundation for scalable, safe, and reliable autonomy.

What You'll Evaluate

The assessment measures your readiness across five critical dimensions of AV data operations:

  • Sensor Data Coverage: Are your datasets representative of real-world driving conditions and environments?
  • Edge-Case Management: Can you systematically discover, curate, and learn from rare scenarios?
  • Annotation Quality: Do your labeling processes support production-grade model performance?
  • Validation & Traceability: Can you validate data at scale and maintain full data lineage?
  • Data Governance: Are your processes equipped for security, compliance, auditability, and scale? 

Benchmark your AV data curation maturity, identify readiness gaps and gain actionable insights to strengthen the data foundation powering your autonomous mobility program.

Download the assessment now.