We started Veagle with one belief: that every football player deserves access to the same quality of analysis that elite clubs use to win championships.
Veagle was founded by a group of computer vision engineers and football analytics enthusiasts who saw a massive gap in the market: while top clubs in Europe had access to sophisticated AI analysis tools, the vast majority of professional and semi-professional teams were still relying on manual video tagging and basic statistics.
We built Veagle to change that. By combining state-of-the-art object detection, multi-object tracking, and a football-specific analytics layer, we created a platform that makes elite-level analysis accessible to any team with a camera.
To make world-class football analytics accessible to every club, academy, and analyst — regardless of budget or resources — by building AI tools that are powerful, affordable, and truly easy to use. We believe better data should lead to better football, at every level of the game.
We envision a future where every football decision — from team selection to transfer strategy to in-match adjustments — is informed by AI-generated insights from video. Veagle is building the infrastructure to make that future a reality for clubs at every level of the professional game.
Traditional football analysis is time-consuming, expensive, and inconsistent. Analysts spend dozens of hours manually tagging events in video — work that's subjective, prone to errors, and impossible to scale across a full season of matches.
Veagle replaces manual video work with an end-to-end AI pipeline. From upload to polished report, everything is automated — delivering consistent, objective, high-accuracy data for every match in minutes, not days.
Veagle's platform is powered by a carefully engineered stack of computer vision models, tracking algorithms, and football-specific analytics modules. We use the best tools available and fine-tune them on football-specific training datasets to achieve industry-leading accuracy.
Our infrastructure is designed for reliability, speed, and scale — whether you're analyzing a single match or a full season of video across multiple competitions.
We obsess over model accuracy. Every percentage point of detection improvement translates to better insights and better decisions for our clients.
Our tools are designed for coaches, analysts, and scouts — not data scientists. Powerful AI, wrapped in an interface anyone on a football staff can use.
From the Champions League to the youth academy — we build tiered solutions that bring elite-level analytics within reach for every club.
Insights delivered fast so post-match analysis happens before the players leave the changing room — not two days later.
Your match footage and player data is yours. We offer full on-premise deployment for clubs that require complete data sovereignty.
Football and AI are both evolving fast. We invest heavily in R&D to ensure Veagle stays ahead of both games simultaneously.
Core team assembled; research phase begins on football-specific computer vision models.
YOLOv8 detection model fine-tuned on 50,000+ football frames. 96%+ mAP on player detection achieved.
8 clubs and 3 academies joined our invite-only beta — providing critical feedback on real match footage.
First commercial product launched. Full pipeline from upload to structured report in under 30 minutes.
Tracking Engine API, Performance Dashboard, and Event Detection Suite added. 40+ clients onboarded.
Expanding to North Africa, Asia, and Latin America markets. Real-time live-match analysis in development.