10s of TBGenerated 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