Ex.co is a machine learning video technology platform that bolsters the successful video strategy of the world's leading media groups, and today announced the launch of a powerful new agent AI classification feature. This groundbreaking solution allows publishers to automatically classify video content using a blend of proprietary and industry-standard classification models. This covers organized archives in real time with structured, searchable, and profitable assets.
“Ex.co's AI classification solution allowed us to deepen tagging just a small portion of the time required for our broad video library, which gives product teams confidence in the recommendations driven by this new technology.”
Unlike legacy systems that rely on time-consuming manual tagging, Ex.co's classification solutions use large language models (LLM) to analyze video content frames frames per frame. Generates rich metadata in over 30 dimensions, including IAB categories, emotions, tones, safety classifications, and context-related. These intelligent categories make it very easy to match video content with the right advertising demand, improving both target accuracy and yield.
The system also provides full support for publishers with existing custom taxonomy methods, allowing for seamless integration between new, AI-powered classification and long-standing editing structures. Whether you start from scratch or bolster your existing framework, Ex.co's flexible architecture ensures an easy path to adopting LLM and Agent AI technology without sacrificing control. What sets Ex.co's solutions apart from the broader context platform is the ability to complement, rather than exchange existing editorial taxonomy, enveloping next-generation automation in legacy systems and transforming its structure into real monetization opportunities.
“It's not just automation that makes this solution different, it's accuracy and adaptability,” said Tom Pachys, co-founder and CEO of Ex.co. “We leverage the LLM model to replicate the publisher's unique content hierarchy, evolve with editing strategies, and integrate directly into existing CMS and monetization workflows. This is more than just smart tagging.
Already live throughout the Ziff Davis property PCMAG and Masculineenable Ex.co's AI-driven classification solution.
- Seamless content alignment Synchronize video and article content
- Improve search and discoveryGet internal content and make it more efficient on both the Ex.co platform and the publisher CMS
- Custom Category Framework Configurable reliability thresholds
- Smarter curation and monetization Through enriched metadata for context targeting, better audience targeting, and bid optimization
- Instant SEO enrichment By embedding related taxonomy directly into video metadata
“We are committed to providing a range of services that are important to us,” said Dan Kamas, Senior Product Manager at Ziff Davis.
This feature is currently available to EX.Co Publisher Partners with AI-powered analytics enabled. It provides end-to-end tagging with just a small fraction of the costs required for manual execution and ongoing maintenance.
“Our new Agent AI classification capabilities don't just drive revenue, they'll add value to editors and video stakeholders who rely on speed and accuracy to get the job done,” Pachys added. “We are grateful to have a responsibility to bring the latest technology (and AI in particular) to publishers, and we have a partner who works with us to help shape the future.”
For more information about Ex.co's AI classification solution or for a live demo, visit www.ex.co.
