Through Natural Language Understanding, we improve the process of content creation and how it’s consumed by automating internal workflows and applying semantic tagging and metadata enrichment to categorization, data linking and entity extraction. This makes it easier for your users to discover and navigate information of interest, extending the value and shelf life of your content.
We also augment the editorial process and reduce the manual effort of your teams by streamlining the cross-checking of sources and document comparison.
Our solutions have been chosen by some of the industry’s leading publishers to bring of products and services to market.
Increase the monetization and shelf life of content through entity extraction, semantic tagging, data linking and metadata enrichment
Categorize content by topic based on our rich out-of-the-box vertical taxonomies or create customized taxonomies that are easily implemented via machine learning
Increase user engagement with content and offer contextual experiences and targeted recommendations by understanding audience consumption, behaviors and trends
Use Natural Language Processing to analyze large databases, capture trends, identify missing links and expand and improve factchecking
Help your staff accelerate reporting, produce stories from data, track news on social media and engage with audiences