The hyScore platform is a real-time contextual data platform for driving in-moment online results for brands. Using purpose-built AI for semantic analysis of text, video and images, hyScore builds sustainable data value and insights for brands and content owners. 


Our solution suite and methodology is centered around the shift in focus from Audience targeting to Contextual targeting. For this purpose we have focused on multiple representations of context and the time and cost saving tools to operate on it. We are especially focusing on capturing the interest of the content consumer in a way that makes matching against the desired or existing audience segment easy and precise.

hyScore’s platform uses state-of-the-art Large Language Model (LLM) AI , NLP and finely tuned language models for markets to achieve a high level of understanding of any web page’s content and topic. 

This allows our semantic-based platform to optimize the selling of ad inventory by matching Full-String URLs to a viewer’s predicted intent based on page-level context. This in turn allows advertisers, ad agencies and marketplaces to precisely target ads with an outstanding accuracy without using browser and audience cookies or any other form of personal identifiers. 

The result is a full privacy-friendly, GDPR/DSGVO end-to-end platform that provides clients with an agnostic publisher-independent web crawler, an application layer, a 360 degree segmentation and an analytics layer whose results are easily available via various DSP, SSP and DMP vendors.


Publisher-independent Crawling

A scalable, robust and specialized crawler for content, well accepted globally.

Full-Page URL-Level

Contextual analytics at the level of individual URLs and Articles is much more cost-efficient and precise Targeting


The AI & modell architecture only requires a small amount of fine-tuning for each language


True automated understanding of the entire content using NLP and Deep Learning AI, combined with intelligent content search, similarities and look-a-likes.

IAB Taxonomy

The standard of online advertising market to organize the publisher website content into categories in a way that matches the needs of advertisers, agencies and brands.


The process of determining whether the Contents attitude is positive or negative. AI allows this to be done multi-lingually from the entire content of the page.

Brand-Risk and Safety

With various detection methods our platform is able to determine if the content of a URL is brand risky or not. Beside the use of safety models the system supports individual filter options for black- and white-listing on multiple levels (domain, prefix, category, keyword and phrases, etc.) for custom or generic targeting segments.