Scaling a sports performance platform to 1M+ users across 122 countries

THE CLIENT

JOGO is an AI-driven sports performance platform used by trainers, coaches, and players to track performance, analyze movement data, and access coaching insights. At the time of engagement, the platform had reached one million active users across 122 countries. The platform has since been acquired by 433, one of football's largest digital media and technology groups.

THE CHALLENGE

The engineering team at JOGO's growth phase was structurally under-resourced relative to the platform's user scale and geographic reach. Building the data science and AI capability required to deliver meaningful performance insights to coaches and players requires specialist expertise that is expensive and scarce in Western markets. 

The company needed to scale its technical team rapidly to match user growth across 122 countries, while maintaining platform performance and sustaining the feature development pace required to remain competitive.

WHAT WE BUILT

Primero Group integrated 50+ engineers across development, data science, and platform reliability directly into JOGO's product engineering organization. The development work covered mobile application features built on computer vision and neural networks to capture and process player movement data, and a web application enabling trainers to build personalized development programs. 

The data science work built and maintained the machine learning models underpinning the performance analytics that differentiated the platform. A data warehouse integrated inputs from sensors, wearables, and applications. Infrastructure was built to handle the data volumes of sustained one-million-user global operations. Engineering delivery was structured around the cost and velocity requirements of a scaling consumer sports platform.

WHAT IT SHOWS

JOGO's subsequent acquisition by 433 is external validation of the platform value that was built during this engagement period. For the Group, this is an example of the augmentation model applied to a globally scaling consumer AI product and that the technical work can sustain the kind of commercial trajectory that attracts acquirers.