Zapata AI and Andretti INDYCAR Gear Up to Apply Industrial Generative AI to Race Day Strategy and Analytics in 2024

Zapata Computing, Inc. (“Zapata AI” or the “Company”), the Industrial Generative AI software company developing solutions and applications to solve enterprises’ difficult, industrial-scale problems; and Andretti INDYCAR, a Championship-winning motorsports organization, today announced plans for their third NTT INDYCAR SERIES season together as they look to build on last season’s progress through engineering and technology innovation.

The focal point of their work together this season is applying Zapata AI’s Industrial Generative AI solutions and expertise to give the Andretti INDYCAR team a competitive advantage in pursuit of winning races. Working trackside, in the Race Analytics Command Center mobile engineering unit, and virtually from their different locations, the engineering and competition teams plan to use Zapata AI Sense – running on the Company’s Orquestra platform – and other tooling to build an improved technology stack for specific use cases, including race strategy and data signal generation.

“As we head into our third season working with Zapata AI on our INDYCAR program, we’re eager to continue using their expertise to fine-tune the performance on race weekends,” said Michael Andretti, CEO and Chairman of Andretti Global. “The goal, as it has been since day one of this relationship, is to work shoulder-to-shoulder with the Zapata AI team to turn technological innovation for specific use cases into ‘real’ results on the track.”

Highlights from the 2023 season include:

• Virtual Sensors: The teams leveraged generative AI to generate real-time, accurate data for a key race variable that would not have been measurable with physical sensors otherwise.
• Decision-making: Implementation of Zapata AI’s Industrial Generative AI solutions was one of the key enabling technologies for fast predictions to support decision-making using livestream and historic data.
• Data infrastructure integration and enhancement: The Zapata AI and Andretti teams explored novel, data-driven opportunities in these areas.
• Analytic and predictive capabilities (on and off the race track): These capabilities were enhanced with innovations in database integration, DevOps tools for live data processing and monitoring, and generative and general AI model integration. All of this was enabled by on premise edge computing and adapted to Andretti's particular needs to stay competitive and push the envelope in multiple car racing circuits worldwide.

“We are excited to keep learning from Andretti and continue our joint, tangible progress on resolving the technology challenges we face,” commented Christopher Savoie, CEO and co-founder of Zapata AI. “Industrial Generative AI has the potential to enable us to generate the best possible solutions based on the available data to optimize critical factors, such as how to keep fuel consumption at a minimum while sticking to a pitstop strategy and creating ‘virtual’ sensors to predict the slip angle of a car as it corners at high speeds. And those are only two examples. There are many more that we’ll be tackling this season and beyond.”