As AI and machine learning systems evolve, they need vast amounts of high-quality, reliable data to improve their models. However, obtaining clean and accurately labeled datasets has always been a critical challenge. AI companies struggle to gather vast amounts of data that are both consistent and high-quality. Traditional methods of gathering labeled data are slow, labor-intensive, and prone to errors. This is where Tapster steps in.

Tapster transforms dataset creation into a fun and gamified experience. Much like how Mata Shabri carefully selected the best fruits for Lord Rama, Tapster carefully curates data for AI models. Users engage with short-form content, such as images, short videos, and games. By selecting between pairs of AI-generated images, they generate valuable, labeled data that AI companies use to train better, more reliable models.