One verified fact base.
Four specialist perspectives.
Not one model guessing. PitLogic.ai is designed as a panel of specialists reasoning over one shared, verified set of race facts.
Specialists with clear jobs
Deterministic code owns every number. The AI layer explains, ranks and phrases over cited facts rather than trying to invent telemetry analysis from raw traces.
Designed backwards from a five-minute window
If an insight cannot be computed, ranked and read in the gap between sessions, it belongs in the overnight review rather than the pit wall.
Session ends
Engineer taps “ended”. Telemetry import and voice debrief start in parallel.
Facts ready
Raw logs are converted into a compact fact table. The local view can render early.
AI pass
Specialist reasoning correlates, ranks and phrases over verified facts.
Engineer approves
Human-in-the-loop gate before the ranked Top-3 reaches the driver.
Patterns a rushed human can miss
Cross-corner correlation
Surface one root cause appearing across several corners instead of recommending three unrelated tweaks.
Compensating behaviour
Identify when a quick driver is hiding a car issue that is quietly spending tyre life or consistency.
Stint degradation
Track fuel-corrected pace to show when performance drops and which axle or corner type is responsible.
Perception vs data
Turn driver feeling into a testable hypothesis, shown alongside data rather than overriding the driver.
“Money corners”
Rank opportunities by realistic achievable gain, not simply the largest raw delta.
Early reliability signs
Surface trends that become amber watch/act flags before they grow into bigger problems.
Every setup suggestion clears three gates
In range
Inside the Artura's validated setup window.
Legal
Checked against regulations, BOP and the team's reference material.
Reversible
Quick-to-undo tests are preferred first when evidence is uncertain.