EQUIVERSE AI

EquiVerse AI Non-Anthropocentric Artificial Intelligence is an innovative approach dedicated to the development and licensing of customizable, made-to-order computer programs, specialized in non-anthropocentric artificial intelligence applied to the world of horse racing and human-animal interaction. Founded by Marcos Eduardo Elias, this division of Holosystems stands out as a pioneer in using advanced methodologies to maximize sports performance and animal well-being.

Our unique advantage lies in the incorporation of fuzzy logic, a methodology that revolutionizes the way uncertainties and imprecisions inherent to real-world situations are handled. Introduced by Lotfi A. Zadeh in 1965, fuzzy logic allows complex situations to be modeled with nuances and intermediate gradations, rather than traditional rigid binary approaches. In practice, this translates into the exceptional ability of our AI systems to interpret ambiguous and subjective data, delivering more precise and adaptable results tailored to the specific context of horse racing.

This innovative approach is based on four main pillars of fuzzy logic: fuzzy sets, fuzzy operators, fuzzy inference systems, and fuzzification/defuzzification processes. With these, we replicate and enhance human intuition in critical decisions involving performance and sports strategies. EquiVerse AI transforms qualitative data—such as the emotional state of animals or the influence of environmental factors—into actionable and robust insights.

In addition, our multidisciplinary team applies rigorous techniques in computer vision, statistical learning, and game theory, creating a unique technological synergy that drives the efficiency and effectiveness of our analyses. By combining the mathematical precision of fuzzy logic with a deep understanding of human-animal interactions, EquiVerse AI positions itself at the forefront of technology applied to equestrian sports, setting new standards for performance, ethics, and animal welfare.