DoubleVerify
Ad Fraud, Advertising, Brand Safety
Machine Learning Natural Language Processing
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DV is driven by a mission – to build a better advertising industry. We help brands improve the effectiveness of their online advertising, giving them clarity and confidence in their digital investment. Confidence is built on trust. Trust is achieved when a company’s mission, team and actions are aligned – doing things for the right reasons, with transparency and authenticity. Trust is foundational to the lasting partnerships we’ve built with global advertisers, as well as the world’s leading programmatic and social platforms, and publishers.
DV has been powering digital media quality and performance for over a decade. Dedicated Fraud Lab and Semantic Science teams focus exclusively on developing cutting-edge solutions for brands, advertisers, platforms and publishers — from identifying the latest fraud schemes to safeguarding brand reputation across devices and emerging channels.
The DV Fraud Lab performs ongoing detection and analysis of new types of digital ad fraud in order to uncover the latest schemes as they occur. Launched over 10 years ago in Tel Aviv, Israel, DV’s Fraud Lab consists of dedicated data scientists, mathematicians and analysts from the cyber fraud prevention community. We employ a variety of approaches to detect new forms of fraud — from AI and machine learning to manual review. Through constant analysis, scenario management and research, we pinpoint the sites, apps and devices responsible for fraudulent activity — updating our protection in virtual real time.
Based in Helsinki, Finland, DV’s Semantic Science team builds AI-driven ontological tools that facilitate the semantic understanding of text. This unique competency powers DoubleVerify’s proprietary brand safety controls for advertisers and matches brands with appropriate and relevant content online. Comprised of linguists and software development specialists, DV’s Semantic Science team is responsible for developing the world’s most comprehensive general-purpose ontology — identifying over 200,000 language-independent concepts, using more than 5 million rules to determine the correct meaning of a word. The result is more accurate classification and better protection for brands.
Crawler technology – crawlers that crawl all over the web recognizing and analyzing ads and campaigns behaviors allowing statistical analysis of campaings behaviour and compliance to campaign definitions.
