Currently, analytics in video streaming services have poor content discovery and engagement. Search is generally based on keywords from the metadata which in most cases are generated manually.  Ogler.ai’s deep neural networks analyze each frame in a video to predict the genre, mood & theme of the content, thereby improving search and suggestions in video streaming services. The dataset is automatically generated without any human intervention. Hence it’s highly scalable and accurate.

Ogler.ai identify brands and products in the video content and help advertisers efficiently target prospective customers. It tracks user interests and viewing patterns to monetize content efficiently. It analyses deeply each individual asset and how it is being viewed multiple times, how well received is each asset with users, how users are watching by repeat views, set of frames which are revisited and how good is the customer engagement & retention.  For example, a person watching ‘Zindagi Na Milegi Dobara’ would be a better target for a packaged tour to Spain during the Tomatina Festival.