Ad Fraud, Advertising, Brand Safety
Machine Learning Natural Language Processing

Business Overview

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.

Operating Status
February 2008
Business model
Offering type
Funding stage
Series D
Business stage
Revenue status
Revenue Generating
Total funding
$546 Million
Ad Fraud, Advertising, Brand Safety, Consumer Engagement, Cyber Security, Publishing


Oren Netzer
Board Member
Serial Entrepreneur
Alex Liverant

Board Members and Advisors

David Blumberg
Board Member

Funding Rounds

New wpDataTable

Date Announced

Funding Round

Amount Raised


Exit Events and Acquisitions

Date Announced





August 2017
$200 M
Providence Equity Partners

AI Technology Stack

AI Description

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.

AI employees
AI types
Machine Learning, Natural Language Processing
AI algorithms
Classification, Clustering
AI tasks
Anomaly Detection
AI tools
Kafka, Spark
Java, Python, R
Cloud provider
Google Cloud AI

In The News

Daily MarTech Roundup: Latest Marketing and Sales Technology News, Product Announcements and Insights | MarTech Series

January 8, 2021

DoubleVerify Launches Brand Suitability Tiers, Forging Alignment Between Advertisers & Publishers | AiThority

January 8, 2021

DoubleVerify Launches Brand Suitability Tiers, Forging Alignment Between Advertisers & Publishers | MarTech Series

January 8, 2021

DoubleVerify Gains MRC Accreditation for Integrated Third-Party Measurement on Facebook | MarTech Series

December 17, 2020

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