We built an end-to-end AI video analysis system that processes, understands, and organizes video content automatically at scale.
The AI video pipeline revolutionized the agency's workflow and competitive edge.
A leading digital news media agency was capturing thousands of hours of video content monthly—interviews, breaking news footage, B-roll, and event coverage—but had no efficient way to catalog, search, or repurpose it.
Their editorial team spent countless hours manually watching, tagging, and organizing footage. Finding the right clip for a story could take hours, and valuable content was often forgotten in archives, never to be used again.
They needed an intelligent system that could watch, understand, and organize video content automatically—freeing their journalists to focus on storytelling, not searching.
We built an end-to-end AI video analysis system that processes, understands, and organizes video content automatically at scale.
The AI video pipeline revolutionized the agency's workflow and competitive edge.
We engineered a scalable, cloud-native video processing pipeline powered by state-of-the-art computer vision and NLP models.
Built an automated ingestion system that monitors upload directories and cloud storage, triggering the AI pipeline as soon as new video content is available.
Applied computer vision models for object and scene detection, speech recognition for transcription, and NLP for semantic understanding—creating a comprehensive analysis of each video.
Automatically generated rich metadata, tags, and searchable transcripts, indexing everything in a high-performance search engine that enables instant discovery by editorial teams.
Seamlessly integrated the AI-generated insights into the agency's content management system, making intelligent video search a natural part of their daily editorial workflow.