Our partner SciSports

SciSports is a rapidly growing sports analytics company that is revolutionizing the sports industry with its innovative use of artificial intelligence (AI).

SciSports is a rapidly growing sports analytics company that is revolutionizing the sports industry with its innovative use of artificial intelligence (AI). The Dutch-based company specializes in using advanced analytics and machine learning algorithms to extract valuable insights from vast amounts of data, enabling coaches and managers to make better decisions.
Founded in 2013, SciSports is now a leading provider of football data intelligence to over 100 professional football organizations worldwide, ranging from clubs, leagues, federations, agencies, and media & entertainment companies.

SciSports’ AI software platform provides a range of services that can help teams make better decisions, improve player performance. These services include player scouting, performance analysis, and tactical insights. By analyzing a player’s performance and other factors, the platform facilitates data-driven decision making, providing a valuable tool for amongst others teams when making transfer decisions.

As part of the Tuples project, SciSports will contribute its expertise in extracting actionable insights from football data, translating real-world challenges into research problems, and explaining complex solutions to end-users. The company will support the project with a total of 28.5 person-months from members of its Data Science team. SciSports will lead both the Football Squad Management’s use case and the consortium’s Data Management.

Its expertise and contributions to the Tuples project demonstrate its commitment to advancing the field of AI and using data intelligence to drive better decision-making and performance outcomes.

See SciSports contribution in the TUPLES’ project in detail here.

SciSports use case here.

 

Latest News

Now in its final version the SAT is ready for wider adoption across research institutions, industry, and public organizations engaged in planning and scheduling AI solutions.

This article opens a series dedicated to the winners of the Beluga Competition, the international challenge hosted by TUPLES and Airbus from November 2024 to April 2025.

TUPLES members at CP Conference

At this year's CP2025 conference, several members of the Tuples.ai project presented three significant papers that explore various aspects of constraint programming and scheduling. These contributions demonstrate the project's commitment to developing reliable, robust, and explainable AI systems for planning and scheduling.

Our coordinator’s invited talk explored how graph-based approaches can push the boundaries of heuristic search, opening new perspectives for automated planning.