Feature · analytics
Validation & QA
Bad data caught at ingest, not at the safety review
At a glance
- ▸ CRC validation on every frame
- ▸ Range validation per parameter (configurable)
- ▸ NCD (No Computed Data) and test-value preservation
- ▸ Configurable strictness — strict for compliance, permissive for forensics
- ▸ Validation results exposed as queryable metadata
What it does
Garbage-in-garbage-out is real in FDR work. A parameter that overflowed its bits, a frame that failed CRC, a sensor in test mode — if these silently land in the dashboard as “good data,” safety teams act on fiction.
Aviation AI Pro validates every parameter as it ingests, tags suspect values, and surfaces validation summaries alongside the data. You can ask “show me every flight where over 5% of altitude readings failed range check” — and get a clean answer.