aNEWSme provides both plug-n-play and customized solutions for news personalization.

At the heart of our products is the proprietary behavior and content analysis engine we have developed. Our engine is unique in both analysing content semantically (dynamically analysing articles for keywords and meanings) and also analysing reader behaviour patterns - to deliver the most relevant possible content recommendations for news readers. We find the articles that each reader is naturally interested in, which otherwise may be buried, undiscovered within a news site.

The benefits for news websites, our prime target customers, are improved reader engagement and advertising revenue growth. Our research indicates our technology can increase both the number of articles read per user, and the revenue per ad impression by double digits.

For news readers we provide a completely unobtrusive news suggestion system which will mix personalized suggestions with traditional editorial news. This will improve the site's navigation and relevance for the readers. It will save readers time and effort while not cornering them to a specific news segment or news types. Our service is valuable to readers on the web and has particular relevance on mobile and small screen devices.