Our cutting-edge technology has blended with advanced machine-learning algorithms and computer
vision techniques to perform an in-depth analysis of content.
Extract Relations, Typed Dependencies between words and synonyms whether the content of a page
is appropriate based not only on the terms on that page but also on the context in which they
are used, ensuring there are no blind spots.
Tailored to individual advertiser’s specific brand needs, not just a generic understanding of
content.
We don’t believe in one-size-fits-all model when comes to brand safety.
One size does not fit
all
Just as each person is different, brands also espouse unique traits and nuances. Whether you
take a no-risk approach or want more latitude as far as where you want your ads to appear, both
types of brands can avoid risk while extending their reach using contextual intelligence. And
with the breadth of custom brand safety solutions available with us, online advertising becomes
progressively safer than ever before.
We process millions of content data points from the page to adequately understand the content quality and suitability that helps to make better ad communication decisions.
Contextual OS is a proprietary software platform offered as a service (SaaS) for contextual advertising. The platform leverages advanced deep learning and machine learning algorithms to analyze contextual data from digital content. As an end-to-end solution, Contextual OS provides a comprehensive contextual analysis solution tailored for multiple stakeholders within the AdTech ecosystem, including content publishers, advertisers, and programmatic platforms.
Its integration capabilities extend to Supply-Side Platforms (SSPs), Demand-Side Platforms (DSPs), and other programmatic advertising tools. By delivering customized software for analyzing and interpreting contextual data, Contextual OS supports real-time decision-making and optimization for targeted advertising campaigns.
Contextual Curation is a SaaS solution designed to curate custom data signals for programmatic advertising. Built on deep learning and machine learning algorithms, the software identifies and retrieves highly relevant ad inventory by analyzing contextual data. This curated inventory is optimized for auction-based ecosystems, enhancing ad relevance and performance in real-time. Contextual Curation bridges the gap between content analysis and ad delivery, ensuring advertisers access only the most contextually suitable inventory for their campaigns.
Addressable Context refers to a proprietary SaaS platform that combines and analyzes multiple contextual signals to create privacy-compliant advertising solutions. Using deep learning and machine learning algorithms, the platform synthesizes data from diverse sources:
Social Context : Derived from analyzing user engagement on social media platforms.
TV Context: Analyzed at the video level from Connected TV (CTV) and Over-the-Top (OTT) streaming platforms.
Mobility Context: Based on device-level data tracking movement patterns.
Addressable Context provides advertisers with actionable, addressable contextual signals, ensuring high precision and relevance in targeting while adhering to privacy regulations. The platform supports programmatic advertising ecosystems by delivering unified, real-time insights from multiple data streams.