Video Understanding

Character and scene analysis, automated content moderation, and intelligent content repackaging for streamlined production and distribution workflows.

Searchable content archives, auto-generated highlights, and personalized clip creation to transform vast libraries into discoverable, monetizable assets.

Automated tagging, content recommendations, and advertising placement for enhanced viewer engagement and revenue maximization.

In-game footage analysis, player behavior insights, and automated highlight generation to enhance esports content and community engagement.

Advanced play analysis, automated highlight creation, and real-time performance metrics for comprehensive game coverage and fan experiences.

Unlike standalone LLMs or transcription tools that only process text, our solution analyzes visual, audio, and textual elements at the same time. This creates a deeper, more accurate understanding of video content by capturing context from all modalities. It supports tasks like visual question answering, semantic search, and summarization, enabling teams to extract insight from entire video libraries—not just the dialogue.

Traditional MAMs focus on file storage, tagging, and manual metadata entry. Caylent’s solution adds intelligence by automatically extracting insights, summarizing content, and enabling semantic video search using natural language.

No, manual tagging isn't required to get started. The system uses pre-trained GenAI models fine-tuned for video content to automatically generate metadata, summaries, and transcripts. While the outputs are high quality, human review and refinement may be needed depending on accuracy requirements, use case complexity, or compliance needs.