Intelligent Summarization
Generate text summaries by extracting key moments, action descriptions, transcripts, and videographic information from video content.
Unleash the Full Potential of Your Video Data
Organizations often handle video content through separate systems that look at visuals, audio, and text independently. This disconnected approach misses the bigger picture and fails to unlock the true value of video assets, where just one minute of video can contain as much information as 1.8 million words.
Our solution uses AWS AI to process visual, audio, and text content in parallel, delivering context-aware intelligence that mirrors human understanding. It enables natural language summarization, visual Q&A, and semantic search across video libraries, helping teams replace fragmented analysis with a more unified and efficient approach.
Generate text summaries by extracting key moments, action descriptions, transcripts, and videographic information from video content.
Enable natural language searching across video libraries based on meaning and context, not just keywords.
Take action based on video content across modalities for content moderation, alerting, and/or interactive UI.
Ask specific questions about video content and receive natural language answers from visual and auditory data.
Transform video content into structured, searchable, and insight-rich assets with multimodal AI.
Evaluate content libraries and identify high-value opportunities.
Design secure, optimized AWS-based content processing architecture.
Implement workflows, configure models, and develop recommendation engines.
Deploy with real-time monitoring and revenue optimization controls.
Provide knowledge transfer and support for long-term evolution.
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We endeavor to #Staycurious in every aspect of our work. We put together some FAQs that we've heard from colleagues and customers.