The problem:
Decision-making in sport management is currently heavily reliant on human intuition and experience. This is important for player recruitment, tactical analysis, fan engagement and in fantasy sports. Using AI and advanced data analytics, Sentient Sports seeks to improve decision-making for sports teams, organisations, governing bodies, and leagues.
The solution:
At Sentient Sports we use our AI expertise to drive new insights in the sports industry. We aim to optimise the decision-making processes of sportspeople, utilising data-driven technologies to help our clients improve their performances both on and off the pitch. We allow decision-makers to simulate the effect of long-term decisions, initially focusing on player recruitment in football, where we predict how a player will perform once a transfer is made.
Over the Fellowship we aim to grow the business across multiple verticals and multiple sports, with the aim of breaking into the US market where there is a strong appetite for sports analytics. The US sports analytics market was valued at $1.05bn in 2020 and is expected to reach $5.11bn by 2026.
Traction:
- Co-founded alongside Dr Tim Matthews and Professor Global Ramchurn
- Partnership with AI Abacus
Associated Programme
