Race engineering intelligence
built in the real world.
PitLogic.ai is being developed around a simple idea: the race team already has the data. The advantage comes from understanding the few facts that matter before the next run.
Engineering first. AI second.
The system keeps numeric analysis deterministic and uses AI to reason over a verified fact base. That makes the recommendation explainable, evidence-linked and reviewable by the engineer responsible for the car.
It is being shaped around GT4 race-weekend pressures with Team Soutar Motorsport, using Microsoft Azure AI infrastructure and Copilot+ PC trackside workflows, delivered by MrPC with Leader support.
What PitLogic.ai is built to protect
Engineer authority
AI is advisory only. The engineer owns the decision and the car.
Evidence over theatre
Every claim should be traceable to facts, not presented as a mysterious AI opinion.
Speed with boundaries
Between-session outputs prioritise the few actions that fit the time available.
Driver context matters
The driver's words are captured as evidence alongside telemetry, never treated as noise.
Data stays valuable
Season history compounds into a stronger reference base for future sessions.
Built for trackside reality
Offline-capable local preparation and graceful degradation are part of the design.