The Problem

Brooklyn dynamics needed to create an AI based program that would be able analyse a thoroughbred's performance, earnings and value over a specified time frame to be able to make predictive decisions.

The Process

We developed a rating and benchmarking system based on historical data. Numerical values and ratings were assigned to all measured elements and variables such as trainers, jockeys, courses, times, sire and dam. Algorithms will evolve via machine learning as new data is mined. Analysis can be modified via adding or subtracting variables such as age, trainer, jockey, course, other horses or competition, distance, starts, wins and lineage.

The Results

We developed a program with very high precision in predicting a number of factors.