Technology & Innovation

Integrated Artificial Intelligence System

Our integrated system combines four crucial technological branches:

Computer Vision (CV): Advanced techniques in activity recognition, pose estimation, and real-time tracking enable detailed and continuous analysis of the horses’ physical and behavioral performance during races.

Statistical Learning (SL): Robust predictive models use detailed historical data, precise genetic information, nano-biosensors, GPS, and big data to deliver highly accurate forecasts of the animals’ future performance.

Game Theory (GT): Sophisticated analyses of competitive strategies and dynamic decision-making by owners and jockeys are conducted across multiple scenarios, offering optimized solutions that maximize race outcomes.

Fuzzy Logic: Allows modeling and interpretation of uncertainties and subjectivities found in qualitative data, such as variable environmental conditions and behavioral assessments of horses, ensuring more adaptable and intuitive decisions for automated and analytical systems.