Seenit - Using machine learning for fine-tuned video search in the cloud

Built from the ground up with Couchbase Server and Mobile, Seenit gives enterprises a highly innovative and collaborative video platform that’s easy to use. After crowdsourcing video content from employees, fans, and customers, companies can quickly sort through thousands of videos to find the perfect clips. The powerful combination of Couchbase’s N1QL and Full-Text Search on top of machine learning in the cloud allows users to filter by visual objects in the video, words or phrases in the audio, sentiment, and other key attributes.


About Seenit

We already extensively use N1QL for our structured querying, but now with full-text search integrated into Couchbase, we can seamlessly search all this data and derive relevance-based intelligence using a single data platform.

Dave Starling CTO, Seenit

Maccabai logo Use case

  • Recommendation engine
  • User profile
  • Media catalog
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