Many neurodivergent children, such as those with ADHD, struggle to stay engaged in conventional attention-training programs. These programs are often delivered purely on screens and rely on abstract scores or bars as feedback, which makes it hard for kids to genuinely feel that their brains are changing or that their effort matters. At the same time, many machine-learning models that claim to “personalize” attention or cognitive training are trained mostly on urban populations. When those same models are deployed in rural environments—where daily routines, educational pressures, and living conditions differ—their performance degrades, unintentionally reinforcing exactly the inequities they were supposed to reduce.
Vision
Our vision is to turn attention training into a playful, tangible experience that children can touch and understand. BrainHero Toss uses a cute, game-like physical device linked to EEG signals so that real brain and behavioral changes trigger real-world rewards, like a ball hitting a moving tray. On top of that, we use personalized modeling and adaptive algorithms so that the system can adjust to each child and each environment, aiming to narrow performance gaps across regions and backgrounds rather than widen them.