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Brief
IAS (Integral Ad Science) was acquired by Novacap (Dec 2025)— see Novacap for current status. See the full lineage →
IAS (Integral Ad Science)

IAS (Integral Ad Science)

Ad Verification & Media Qualityintegralads.com

IAS ensures that digital ads are seen by real people in brand-safe, fraud-free environments, protecting brand reputation and reducing wasted ad spend across all major channels and platforms.

Last updated Aug 3, 2026 by ATDb automated enrichment · Connections updated Aug 31, 2026

Founded
2009
HQ
New York, New York, United States
Parent
Connections
278

At a glance

Employees
1001-5000
Funding
Acquired for ~$4.75B by Vista Equity Partners in 2024
Revenue
$500M–$700M
Stock
NASDAQ:IAS
219integrations17competitors4corporate family1partners1acquisitions

About

One of the two dominant players in the global ad verification and media quality measurement market, alongside DoubleVerify

Integral Ad Science (IAS) is a global digital media quality company founded in 2009, providing ad verification, brand safety, viewability measurement, and fraud detection solutions to the world's largest advertisers, agencies, publishers, and media platforms. The company serves as critical infrastructure in the programmatic advertising ecosystem, offering pre-bid targeting, post-bid measurement, and optimization tools that help brands ensure their ads are seen by real people in brand-safe environments. IAS operates across display, video, mobile, social, and CTV/OTT channels, with integrations spanning hundreds of DSPs, SSPs, and social platforms. IAS went public on the Nasdaq in June 2021 under the ticker IAS, and was subsequently taken private in 2024 following its acquisition by Vista Equity Partners for approximately $4.75 billion. The company competes directly with DoubleVerify and Moat (Oracle) in the ad verification space, and has differentiated itself through its Total Media Quality framework, AI-driven contextual classification engine (Context Control), and deep partnerships with major platforms including Google, Meta, Amazon, and TikTok. With offices across North America, Europe, and Asia-Pacific, IAS serves thousands of customers globally including Fortune 500 brands, major media agencies, and premium publishers. The company's technology processes billions of ad impressions daily, providing real-time signals that protect brand reputation, reduce wasted spend, and improve campaign performance. IAS is widely regarded as one of the two dominant players in the ad verification and media quality measurement market.

Business model

SaaS

Target market

Enterprise

What they offer

  • Context Control

    AI-driven contextual classification and targeting engine that categorizes content at scale to enable brand-safe and relevant ad placements using pre-bid avoidance and targeting segments.

  • Brand Safety & Suitability

    Pre-bid and post-bid tools that prevent ads from appearing alongside harmful, inappropriate, or brand-damaging content across display, video, and social channels.

  • Viewability Measurement

    Measures whether ads are actually seen by users, providing MRC-accredited viewability metrics across display, video, mobile, and CTV formats.

  • Invalid Traffic (IVT) Detection

    Sophisticated fraud detection that identifies and filters bot traffic, ad stacking, domain spoofing, and other forms of invalid traffic to protect advertiser spend.

  • Total Media Quality (TMQ)

    IAS's overarching measurement framework combining brand safety, viewability, and fraud metrics into a unified quality score for media evaluation.

  • CTV/OTT Measurement

    Ad verification and quality measurement solutions specifically designed for connected TV and over-the-top streaming environments.

  • Social Media Measurement

    Brand safety and viewability measurement integrations across major social platforms including Meta, TikTok, YouTube, and Twitter/X.

  • Publisher Optimization

    Tools for publishers to optimize their inventory quality, improve viewability scores, and demonstrate value to advertisers.

  • IAS Signal

    Real-time data signals and integrations delivered to DSPs and buying platforms to enable quality-based pre-bid decisioning at scale.

Key features

Pre-bid brand safety and suitability targeting segmentsPost-bid measurement and reporting across all channelsAI-powered contextual classification (Context Control)MRC-accredited viewability measurementSophisticated invalid traffic (IVT) and fraud detectionCTV and OTT ad verificationSocial platform integrations (Meta, TikTok, YouTube, Amazon)Real-time optimization signals for DSP integrationsCustom brand suitability profilesCross-channel campaign quality reporting dashboard

Use cases

Ensuring brand ads do not appear next to harmful or inappropriate contentMeasuring and improving viewability rates across programmatic campaignsDetecting and filtering bot traffic and invalid impressions to reduce wasted spendContextual targeting based on content quality and relevanceVerifying ad delivery on CTV and streaming platformsSocial media brand safety monitoring and measurementPublisher inventory quality optimization and monetization improvementAgency campaign quality reporting and accountability to clientsPre-bid audience and context targeting for performance improvementCross-platform media quality benchmarking and competitive analysis

Customer segments

Fortune 500 brand advertisersMajor media agency holding groups (WPP, Publicis, IPG, Omnicom, Dentsu)Independent media agenciesPremium digital publishersDemand-side platforms (DSPs)Supply-side platforms (SSPs)Social media platformsAd networks and exchanges

Tech & specs

Technology stack

Machine learning and AI for contextual classificationReal-time bidding (RTB) signal integrationBig data processing infrastructureCloud-based SaaS platformJavaScript tags and pixel-based measurementAPI-based integrations with DSPs and SSPsNatural language processing (NLP) for content analysisComputer vision for video content classification

Security & compliance

SOC 2GDPRCCPAMRC AccreditationIAB Tech Lab standards complianceTAG (Trustworthy Accountability Group) certification

Deployment

Cloud

API

Yes

Corporate history
  1. 2009 · Founded
  2. 2025Acquired by Novacap
    Still operating as part of Novacap
Connection details
View IAS (Integral Ad Science)’s full portfolio (3) See alternatives to IAS (Integral Ad Science) See integrations with IAS (Integral Ad Science) (219)

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