Use case AutomotivePowertrain
Powertrain calibration
BOOK A DEMO 90% faster calibration iterations
100% of datasets tagged at capture
6 weeks off programme timelines
Calibration is a data comparison problem
- Calibration engineers run hundreds of dyno cycles to tune engine maps, battery, or thermal models
- Each iteration produces large datasets that need to be compared against Simulink or GT-Power
- The organisation runs multiple calibration programmes in parallel across variants
The manual sim-to-test loop
- The sim-to-test loop is manual: export CSV, run the model offline, re-upload results
- That cycle takes days per iteration; a full calibration programme stretches to 8-12 weeks
- When a result looks wrong, there's no reliable link between the dataset and the calibration files
Quix runs model comparison live
- Quix ingests dyno data in real time and runs the Simulink model comparison inline, automatically
- Every dataset is tagged with the calibration map version, ECU flash, and rig configuration
- Engineers query across all iterations in one place, avoiding multi-system investigations
Results in hours, not weeks
- The calibration loop closes in hours, not weeks, compressing programme timelines materially
- Engineers stop re-running tests to recover context that should have been captured first time
- Regulatory homologation evidence is produced automatically, not assembled manually