No-hitter uses AI and machine learning to classify and track images, actions and tags in media databases.
The solution uses deep learning neural networks to browse, classify and index images and actions from media libraries.
By managing a workload only possible by a number of individuals, media stocks come to life and become effective in supporting stories and narratives and monetization initiatives.
Content explored to its potential.
Use cases for brands and agencies
Time and money saver for searching and curating sports clips for marketing campaigns.
Branded content supporting theme-oriented filters; best goals, personalities, records.