Zapata AI’s solutions are forward-compatible with future generative AI advancements. As technology evolves, they can seamlessly test new devices and algorithms on Orquestra, ensuring that Andretti remains at the pole position.
Andretti pushing the boundaries of innovation
Andretti Global, a prominent name in motorsports, faces a formidable challenge: how to gain a competitive edge in races where data plays a pivotal role? Each race car generates an astounding 1 terabyte of data, and analyzing this wealth of information is crucial for making informed decisions and securing victories.
Enter Zapata AI and their cutting-edge Industrial Generative AI platform. Using gen AI, Andretti is enhancing their race strategy. By analyzing data and simulating scenarios, they can make real-time decisions that give them a competitive edge on the track.
Zapata AI’s generative AI is employed to create virtual sensor simulations. These simulations allow the team to understand specific track features and optimize their performance1.
How will it help Andretti in the race?
At speeds exceeding 200 MPH, tires wear out rapidly. Zapata AI collaborates with Andretti to create a machine-learning model. This model guides strategic decisions around tire changes—when to swap out tires, which ones to use, and how often to change them based on current conditions. Beyond racing, this use case translates to predictive maintenance across industries. Andretti leverages machine learning to process live race data. Predictive models help them anticipate lap times, yellow flags, and tire wear, enabling smarter decisions during races.
Fewer pit stops mean more time saved during races. Zapata AI and Andretti employ machine learning and advanced analytics to optimize fuel consumption. Determining the best time for refueling becomes a critical factor in securing victory.
