About
Passionate Team.
Cutting Edge AI.
Motorsports has become more data driven as computers and electronics have become more rugged, less expensive, and readily available. What we’ve seen is a deluge of sensor data coming off the vehicles, but non-factory-backed privateers and race teams aren’t able to leverage that information to its fullest extent, in a timeframe that can affect a race weekend.
No human can quickly process data from hundreds of high frequency sensors.
For multiple drivers.
For multiple cars.
For multiple sessions – between sessions.
We’re Zaggy AI, and we’re here to help with RAICE.
The Racing AI for Crew Enablement.
Meet The Team
Robert Bates
Founder, CAIO
Robert founded Zaggy AI in 2022 to address shortcomings in the current state of the art in sensor fusion, leveraging a unique AI approach developed for resource-constrained compute platforms.
Fast forward to Petit Le Mans in 2023, when a chat with a team manager uncovered a ubiquitous challenge in motorsports to analyze the data from an increasing number of sensors to solve multiple problems.
The concept for RAICE was born.
Robert holds a Master of Science in Computer Science specializing in Machine Learning from Georgia Tech, an MBA in Finance from Saint Edward’s University, and has developed advanced, high-performance solutions for over 30 years across several industries, with AI being his prime focus in the past decade.
In addition to his extensive industry experience, he also held a Research Faculty position at Georgia Tech while operating under an NSF grant for big data AI systems, so is well versed in both pure research and applied AI.
Our Values
In our pursuit of AI-driven solutions for sensor-enabled systems, Zaggy AI embraces the following core guiding principles for developing ethical AI systems.
Privacy
Our systems will provide proper privacy controls and remove any personally identifiable information from training, testing, or production datasets with proper governance and auditability. We will also only use the minimum amount of data required to develop our solutions, minimizing the potential for exposure of private data.
Security
Our systems will provide secure solutions for data protection and integrity, both at rest and in motion. We shall strive to meet the highest requirements for secure systems in their respective industries, and welcome collaboration with cyber and operational security organizations to improve the state of the art.
Accuracy
Our systems will strive to remove bias, prejudice, and divisive elements from our training, testing, and production datasets. As a company, we will only embrace solutions where we know we can provide accurate results and not sensationalize our technical abilities. Where possible, we will provide explainable models (XAI) and reasonable guardrails for our AI solutions.
Equity
The age of AI has demonstrated that the technology, like any other before it, can be used to improve the human condition or worsen it. We will strive to embrace the former and discourage the latter in our solutions and client projects. We will embrace diversity and inclusiveness, and give back to society in any way we can, and be cognizant of how our solutions are used in the real world.