Identifies
Locates where the lap was lost — corner entry, mid-corner, exit, or under braking — against the driver's own best reference and what that car has been shown to do at that track.
And what should happen next. Racecraft Lab builds the engineering intelligence that reads an iRacing session the way a race engineer reads one — then specifies what to change.
What
happened?
Channels, overlays, lap deltas. Accurate, complete, and inert. Interpretation is left to whoever has the time — which in sim racing means you, at midnight, between sessions.
What should
happen next?
The same data, read by an engineering model. Deficiencies located, explained, ranked by projected lap time, and returned as specific changes to the car and to the driver.
The objective is not to replace telemetry software. It is to replace the engineering labor required to interpret it.
Professional teams employ data engineers, race engineers and setup specialists whose entire purpose is extracting hundredths from every lap. In iRacing you are all of them at once, usually after work. The platform is the engineer you were never going to hire.
Locates where the lap was lost — corner entry, mid-corner, exit, or under braking — against the driver's own best reference and what that car has been shown to do at that track.
Attributes the loss to a cause: driver input, mechanical balance, aerodynamic platform, tire state, or track evolution. Every attribution is traceable to the channels that produced it.
Orders every finding by projected lap-time gain, so the first item on the list is the one worth the session. Engineering time is finite. Priority is the product.
Estimates the effect of each correction before it is made, with a confidence interval. A recommendation without a projected outcome is an opinion.
Returns actions in the units iRacing actually uses: clicks, turns, pressures, ride height, wing, diff, gear — delivered as a setup file you can load. Not adjectives.
Checks every recommendation against the next session. Predictions that fail are recorded as failures. The model is graded by results, not by output volume.
Each observation is scored by projected lap-time gain — not by how unusual it looks on a graph.
One driver has
a season of data.
The platform
has all of them.
Every session that runs through the platform adds to a picture of how a given car behaves at a given track — under different conditions, in different hands, across a full season.
No individual competitor can assemble that. It is the difference between a recommendation drawn from your last three sessions and one drawn from every session ever run on the combination.
Sessions are stored and analysed on our servers and help improve the models. Full terms are set out before an account is connected.
Racecraft Lab provides the intelligence. Vaquero Performance & Tuning delivers it to drivers. Access opens first to competitors already running serious iRacing schedules.
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