Powerful Computer vision & Machine Learning based framework for content classification. - Extract rich metadata about every scene or the entire video, including emotions of the characters depicted and the nature of actions portrayed. Generate detailed descriptions to speed up content organization and processing. - Quickly filter hours of media content based on extracted metadata. Assign labels to clusters with the same type of content to visualize intrinsic structures and facilitate video post-processing. - Separate entertainment content from external advertising materials with precision. Show the differences on the timeline to fast-track ad removal or replacement. -Apply deep content analysis on clip or scene level to locate the most relevant spots for ad insertion. Serve ads in the most appropriate context to maximize their effectiveness. -Use clusterization to detect and isolate anomalous content of any kind: black screens, glitches, artificial text, etc. Integrate the technology into your QC workflows to ensure flawless content delivery. -Implement a clustering-based compliance framework to keep your content strictly in line with any restrictions on depictions of nudity, smoking, alcohol and similar sensitive themes. -Install user-driven filtering tools, such as fine-grained parental controls, to help viewers interact with your platform in a way that reflects their personal taste and positive as well as negative preferences. -Safeguard your brand and protect users from inappropriate content by applying automated moderation. Detect and flag videos and live streams with offensive signs, minors, or violence — in record time. -Perform deep breakdown of scenes and create semantic subcategories based on complex themes — like time period or activity type. Increase content discoverability and unlock new efficiencies within your media library or archive. -Perform in-depth analysis of content themes and structures to generate critical business intelligence about your audience. Leverage the data to guide content acquisition, forecast demand, and build a successful business strategy. - Automate the creation of eye-catching marketing materials like teasers, trailers, posters, and thumbnails to boost viewer engagement and increase content consumption. - Let viewers generate content taxonomies and personalise genre definitions on their own. Improve viewer engagement and retention by providing intuitive tools for enriching content metadata. - Utilise non-supervised AI-driven semantic analysis to locate key moments on the video timeline and generate captivating, action-filled highlights in the blink of an eye.