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Brief
GumGum

GumGum

Contextual Advertising & Brand Safetygumgum.com

GumGum is a contextual intelligence company that positions itself as "The Mindset Company," building technology to help advertisers and publishers connect with audiences based on real-time receptivity rather than identity-based targeting.

Last updated Oct 5, 2026 by the ATDb Editorial Team · Connections updated Oct 13, 2026

Founded
2008
HQ
Santa Monica, California, United States
Connections
33

AI-drafted from public sources19 sources cited

At a glance

Employees
501-1000
Funding
$135M
Revenue
$100M-$200M
Stock
NASDAQ:SYMBOL
12integrations8competitors1corporate family

About

Pioneer and recognized leader in contextual intelligence and cookieless advertising, serving top global brands and agencies

GumGum is a contextual intelligence company that positions itself as "The Mindset Company," building technology to help advertisers and publishers connect with audiences based on real-time receptivity rather than identity-based targeting. Its capabilities span contextual intelligence, attention measurement, and real-world outcome tracking, anchored by the Mindset Graph™, which captures shifts in consumer openness, intent, and attention as they occur. For publishers, the platform provides tools including optimized ad placement and header bidding integration, with the goal of maximizing inventory value and ad revenue. On the buy side, GumGum enables advertisers to reach audiences across CTV, digital video, and display by following consumer mindset across screens. Its client base includes major global brands such as Starbucks, Sephora, Target, Microsoft, Jeep, Clorox, and Unilever, while its publisher partners include outlets such as Daily Mail, Rolling Stone, and Business Insider. On the financial side, GumGum raised $75 million from Goldman Sachs, placing its valuation above $700 million. Source 1: gumgum.com — About GumGum | AI Advertising Pioneers Source 2: playwire.com — Ad Tech Ecosystem: GumGum Source 3: gumgum.com — GumGum | The Mindset Company™ – CTV, OLV & High ... Source 4: marketingbrew.com — What GumGum's Valuation Means for the Future of Ad-tech

Business model

SaaS / Managed Service

Target market

Enterprise

What they offer

  • Verity

    GumGum's proprietary contextual intelligence engine that uses computer vision and NLP to analyze and classify web pages, images, and videos for brand safety, suitability, and contextual targeting.

  • Contextual Advertising

    AI-driven display and video ad targeting based on content context rather than user data, enabling cookieless audience reach.

  • In-Image Advertising

    Ad placements embedded within editorial images on publisher pages, leveraging computer vision to match ads to image content.

  • In-Screen Advertising

    High-impact ad formats that appear within the viewable screen area, optimized for attention and engagement.

  • Brand Safety & Suitability

    Tools for advertisers and publishers to ensure ads appear alongside appropriate content, with granular suitability controls beyond standard brand safety.

  • Attention Measurement

    Solutions to measure and optimize ad attention metrics, helping advertisers understand true engagement beyond impressions.

Key features

AI-powered computer vision for image and video content analysisNatural language processing for page-level contextual classificationCookieless and privacy-first targetingBrand safety and content suitability scoringIn-image and in-screen high-impact ad formatsAttention measurement and optimizationIAB content taxonomy complianceReal-time contextual signal generation

Use cases

Cookieless audience targeting for brand advertisersBrand safety and suitability enforcement for media buyersContextual relevance optimization for programmatic campaignsIn-image advertising for premium publisher monetizationVideo contextual targeting without user dataAttention-based campaign measurement and optimizationPost-cookie identity strategy for agencies and brands

Customer segments

Global brand advertisersMedia and creative agenciesProgrammatic trading desksDigital publishers and media ownersAd networks and SSPs

Tech & specs

Technology stack

Computer vision (deep learning / CNNs)Natural language processingMachine learning / AIReal-time bidding (RTB) integrationCloud infrastructureProgrammatic advertising APIsIAB OpenRTB standards

Security & compliance

GDPRCCPAIAB TCF 2.0Brand safety standards (GARM)

Deployment

Cloud

API

Yes

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