Italian top-flight basketball club Bertram Derthona Basket has entered into a multi-year innovation partnership with technology specialist Deda AI for the 2026/27 season. Competing in the Lega Basket Serie A, the team intends to incorporate modern software architectures directly into match-day operations and organizational infrastructure. The collaboration focuses specifically on the practical deployment of agentic artificial intelligence. Through this setup, the partners aim to automate data streams and generate tangible value across the organization.
The initiative utilizes the club's newly developed infrastructure in Tortona, Piedmont, as an active real-world laboratory. Bertram Derthona Basket is currently establishing operations at the Cittadella dello Sport, an expansive complex covering 71,000 square meters. The centerpiece of this site is the newly constructed Nova Arena. The digital connectivity across the entire facility gives Deda AI an ideal environment to test integrated software systems under competitive conditions.
At the core of the technological collaboration lies the implementation of autonomous software agents. These systems are designed to independently aggregate and interpret heterogeneous data streams without continuous manual intervention. To accomplish this, the agents access historical club archives, real-time match statistics and granular player tracking metrics collected during games. The objective is to extract relevant tactical patterns and information from rapidly expanding pools of live data.
A primary application for this agentic framework focuses on enhancing the fan experience inside the arena and across digital channels. Spectators attending fixtures at the Nova Arena, alongside remote followers using digital club media, are set to receive personalized insights during ongoing matches. Through interactive query interfaces, users will be able to retrieve specific contextual statistics to better understand tactical developments and player performances. This approach aims to create deeper engagement with live sporting events.
Beyond spectator engagement, the partners plan to evaluate these agentic models for internal athletic decision-making over the medium term. Coaching staff and sports directors intend to examine how autonomous agents can assist in workload management and performance diagnostics during regular training. By automatically analyzing physical tracking metrics and tactical setups, the system could provide objective insights to support match preparation. The partnership thus marks a deliberate move toward automated, data-driven athletic management in European basketball.