ScoutMind AI

UK sports-tech SaaS that turns raw football footage into structured player, team and match intelligence for scouts and analysts. Upload a full match and the platform returns per-player tracking, team shape and tactical analysis mapped onto real pitch coordinates — usable data, not a video with boxes drawn on it. A 20-stage computer-vision pipeline handles player and ball detection, multi-object tracking, identity resolution across the whole match and pitch calibration; an LLM layer then turns that validated output into scouting reports and tactical observations in plain language, constrained to verified system evidence rather than raw model predictions. Because analysts have to trust what they act on, a human-in-the-loop workflow lets them correct any output and regenerate everything downstream of it. Full-length matches process asynchronously with checkpoints and resumable jobs, so a long run recovers from failure without restarting, and evaluation harnesses catch tracking and classification regressions as the pipeline evolves. Next.js, React and TypeScript on the front, Python and FastAPI services behind, with PostgreSQL, object storage, queues and GPU workloads on AWS.