Real-Time Decisions That Matter

Pit Rho puts data to work and actively informs decision making both on and off the track.

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What We Do

Pit Rho is a real-time, in-race strategy tool used in the NASCAR Cup Series. Pit Rho ingests competitors' laptime and pitstop data into a series of machine and deep learning models that predict a wide range of race variables, including competitors' behaviors, and recommends optimum race strategy on every lap for any car in the field based on those predicted behaviors. This robust cloud-based application performs more than one million calculations per lap while maintaining near 100% reliability under varying data pipeline conditions.

Key Features

Asynchronous architecture to ensure real-time delivery of strategy. Rapid release cycles guarantee that the latest and greatest technological, motorsports, and mathematical innovations are included.

Extra-trees classifier and Bayesian regression machine learning algorithms create 30,000 decision tree nodes per racecar pairs.

Replay, review, and analyze previous races and create any combination of race scenarios in Pit Rho's Simulation Tool.

Adapt a modern technology stack for seamless integration of telemetry data into Pit Rho.

How It Works

Data Ingestion

Ingest, clean, and store over 100,000 data points on every lap from telemetry, laptime, and pitstop streams.

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Process

Machine and deep learning models that adapt every lap to changing track conditions; the models project cars' future laptimes, positions, and outcomes.

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Results

Optimum and predicted strategy and chassis adjustment recommendations for any car on any lap, updated in real-time.

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See Pit Rho in Action

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Implement cutting edge data science