DoubleVerify
Acquired
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.

Founded
February 2008
Business model
B2B
Offering type
Software
Funding stage
Series D
Business stage
Launched
Revenue status
Revenue Generating
Total funding
$546 Million
Sectors
Ad Fraud, Advertising, Brand Safety, Consumer Engagement, Cyber Security, Publishing

Founders

DoubleVerify
Oren Netzer
Board Member
Serial Entrepreneur
DoubleVerify
Alex Liverant

Board Members and Advisors

DoubleVerify
David Blumberg
Board Member

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

Exit Events and Acquisitions

Date Announced

Transaction

Consideration

Target

Acquirer

August 2017
Acquisition
$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
7
AI types
Machine Learning, Natural Language Processing
AI algorithms
Clustering
AI tasks
Anomaly Detection
AI tools
Kafka, Spark
Coding
Java, Python, R

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