Dunfermline, Scotland, United Kingdom
• The Problem: Football clubs waste Billions every year on transfers that fail. Not because they lack data but because no one can tell a club how a player will actually perform in their specific tactical system before a player signs. • The Solution: FitSim is an AI-powered analytics platform that uses proprietary simulation to predict player performance in specific tactical systems before a transfer happens. Not how good a player is but how good a player will be for a club. • Validation: Our validation case study predicted Virgil van Dijk's Liverpool performance at 85% accuracy, 18 months before his £75M move. We are patent pending and have secured SEIS Advance Assurance from HMRC, and assembled a team that combines elite football credibility with serious technical capability including the scout who discovered Van Dijk and a former QPR professional footballer. We're currently raising our seed round and partnering with forward-thinking clubs who want to make smarter, data-driven recruitment decisions. If you're an investor interested in AI, sports technology, or SEIS/EIS opportunities or a club that's tired of expensive recruitment mistakes I'd welcome a conversation [email protected]
Leading a sports technology startup developing AI-powered predictive analytics for football player recruitment. Key milestones: → Patent pending for simulation methodology → SEIS Advance Assurance secured from HMRC → Completed Techscaler Catalyst accelerator programme → Assembled founding team with 40+ years of elite football scouting expertise → Currently raising seed round to fund MVP and pilot programmes with professional clubs.