Stig AI – Data-driven innovation for sustainable horse breeding

Purpose and goal

The project aims to develop and test an innovative digital solution to improve decision-making and quality in equine breeding. The goal is to enhance knowledge, breeding outcomes, and competitiveness through technology and data-driven insights. It also seeks to explore how digitalization can create added value for the equine sector.

Expected effects and result

The project is expected to result in a verified prototype, increased knowledge of digitalization in breeding, and strengthened collaboration between tech and equine sectors. In the long term, it may contribute to more sustainable, transparent, and data-driven breeding practices and inspire wider adoption of digital tools.

Planned approach and implementation

The project will be carried out in phases focusing on analysis, development, testing, and evaluation of a digital prototype. User feedback and industry input will guide the process to ensure relevance and usability. The results will form the basis for future commercialization and further development efforts.