Harnessing large-scale genetics, environmental and market data to help optimise peak performance in thoroughbred horses.

To construct transparent, repeatable, data-driven views of equine performance that can support long-term planning, risk management and capital allocation.
Key pillars:
Identify Inefficiencies in Public Expectations
We analyse how “the crowd” historically prices and ranks horses, then measure where those expectations have been systematically over- or under-optimistic.
Model True Performance Probabilities
By blending public expectations with our proprietary datasets (genetics, training and race conditions), we generate refined probability estimates for a wide range of race outcomes.
Support Long-Term, Repeatable Decision Making
Our models are built to be robust over thousands of races, not just individual events – focusing on statistical convergence, risk control and repeatability over time.