EX.CO, a leading machine learning video technology platform, has launched a groundbreaking agentic AI taxonomy feature now live across Ziff Davis properties, including PCMag and Mashable. This innovation allows publishers to automatically categorize video content using both proprietary and industry-standard classification models, significantly enhancing content discoverability and monetization. “EX.CO’s AI taxonomy solution has allowed us to deeply tag our extensive video library with a fraction of the necessary time,” said Dan Kamas, Senior Product Manager at Ziff Davis. Leveraging Large Language Models (LLMs), the solution analyzes videos frame by frame to generate rich metadata across more than 30 dimensions, including sentiment, tone, safety, and contextual relevance.
Also Read: CoSchedule Launches Unified Social Inbox for All Social Networks
Unlike legacy systems, EX.CO’s technology integrates seamlessly with custom taxonomies and existing CMS workflows, preserving editorial control while modernizing operations. “What makes this solution different isn’t just automation-it’s precision and adaptability. Our new agentic AI taxonomy feature doesn’t just drive revenue-it deepens our value with editorial and video stakeholders who depend on speed and accuracy to do their jobs well,” said Tom Pachys, co-founder and CEO at EX.CO. With benefits ranging from improved search and SEO to smarter ad targeting and bid optimization, EX.CO’s AI-driven taxonomy reduces the time and cost of video tagging while delivering scalable, context-aware infrastructure for publishers. The feature is available now to EX.CO partners using AI-powered analysis.