Session ingestion
Bring in recordings from supported telemetry and video ecosystems, normalize timestamps and channels, and preserve provenance.
Product
Turn a session into a decision.
SectorZed is being built to answer the questions drivers actually carry out of the car: where did the lap go, what caused it, how confident are we and what should I work on next?
Core workflow
Measure first. Explain second.
The product separates deterministic analysis from narrative so the explanation cannot quietly become the source of the numbers.
Lap & corner analysis
Split laps, identify track structure, align comparable sections and quantify meaningful differences.
Time-loss decomposition
Break lap delta into useful driver-performance categories instead of stopping at a generic faster/slower trace.
Grip & confidence
Estimate measured operating envelopes while refusing results when sensor quality or calibration cannot support them.
Grounded narrative
Use AI only to explain findings that already exist; deterministic narration remains available when a model is unavailable or untrusted.
Export & portability
Keep the analysis useful outside one screen with structured payloads and driver-readable outputs.
What it is not
Not another lap timer
SectorZed is not trying to win by putting one more display in the car. The value is in understanding the session after the recording exists.
Not an AI telemetry fortune teller
A language model can improve communication. It should not invent a braking point, a delta or a grip number because the source data was inconvenient.