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IAS (Integral Ad Science) was acquired by Novacap (Dec 2025)— See the full lineage →
IAS (Integral Ad Science)

IAS (Integral Ad Science)

Ad Verification & Media Qualityintegralads.com

IAS (Integral Ad Science) is a global media measurement and optimization company that delivers actionable data to major advertisers, publishers, and media platforms.

Last updated Oct 5, 2026 by the ATDb Editorial Team · Connections updated Oct 12, 2026

In the news
Founded
2009
HQ
New York, New York, United States
Parent
Novacap
Connections
279

AI-drafted from public sources26 sources cited

At a glance

Employees
1001-5000
Funding
Acquired for ~$4.75B by Vista Equity Partners in 2024
Revenue
$500M–$700M
Stock
NASDAQ:IAS
228integrations18competitors3corporate family1partners1acquisitions
Verification & MeasurementAd Fraud Prevention

About

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

IAS (Integral Ad Science) is a global media measurement and optimization company that delivers actionable data to major advertisers, publishers, and media platforms. Its mission is to serve as the global benchmark for trust and transparency in digital media quality, achieved through comprehensive data that ensures ads are seen by real people in safe and suitable environments. Its solutions provide real-time performance insights to support faster campaign optimization, drawing on machine learning and AI to give customers a deeper understanding of how their digital media performs. IAS helps increase the visibility of digital media across fast-moving and emerging channels including CTV, gaming, and audio, while keeping ads safe and fraud-free. The company works with thousands of media partners and technology companies to enable global campaign verification and optimization, measuring and analyzing trillions of data events every month. Source 1: integralads.com — About IAS Source 2: integralads.com — Integral Ad Science | Global Media Measurement & Optimization

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 (2) See alternatives to IAS (Integral Ad Science) See integrations with IAS (Integral Ad Science) (228) See people at IAS (Integral Ad Science) (2)

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