Use case AutomotiveFleet analytics
Whole-vehicle diagnostics & fleet analytics
BOOK A DEMO 30,000+ CAN signals logged per vehicle
2-20 GB Per trace, spanning several days
10s of TB Generated per day, per vehicle architecture
Vehicle testing is a data problem
- Test fleets log the entire in-vehicle network continuously — more than 30,000 CAN signals per vehicle.
- A single vehicle architecture generates tens of terabytes per day; individual traces run from 2 to 20 GB and can span several days
- Raw logs are converted to MDF/MF4 using DBC databases and held on hybrid on-prem and cloud storage
Analysis is a bottleneck
- Analysis is manual and one trace at a time: an engineer requests a cutout, downloads it, and opens it in CANoe or CANalyzer
- Not all faults are investigated; silent anomalies stay hidden until they surface as field problems
- Every new question needs a hand-written script; across hundreds of use cases and thousands of signals this does not scale
Quix provides a single source of truth
- Quix stores MF4 at scale, compresses the signals, and tags every trace with the vehicle configuration
- Traces become queryable in one place, so an anomaly can be correlated across test, quality, and production fleets
- Analysis is grounded in a per-programme knowledge base, so the output is a short ranked report an engineer can act on, not a wall of alerts
Faster insights, better decisions
- Silent anomalies surface automatically, before they reach the customer
- Analytics tailored to every user; everyday users read the analysis through apps without writing code, while developers still go deep in Python on the same data
- All data at your fingertips; root cause that spans fleets or follows a software update becomes a query, not a manual cross-referencing exercise