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Brief
GumGum

GumGum

Contextual Advertising & Brand Safetygumgum.com

GumGum enables advertisers to reach relevant audiences without cookies or personal data by analyzing the actual content of digital media using AI-powered computer vision and NLP, ensuring brand safety and contextual relevance at scale.

Last updated Aug 5, 2026 by ATDb automated enrichment

Founded
2008
HQ
Santa Monica, California, United States
Connections
31

At a glance

Employees
501-1000
Funding
$135M
Revenue
$100M-$200M
Stock
NASDAQ:SYMBOL
12integrations8competitors1corporate family1acquisitions

About

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

GumGum is a contextual intelligence technology company founded in 2008 and headquartered in Santa Monica, California. The company pioneered the use of computer vision and natural language processing to analyze the actual content of web pages, images, and videos — enabling advertisers to reach relevant audiences based on content context rather than personal data or cookie-based tracking. Its proprietary AI platform, Verity, classifies digital content at a granular level to ensure brand safety, suitability, and contextual relevance at scale. GumGum's flagship product suite includes contextual advertising solutions for display, video, and in-image placements, as well as brand safety and suitability tools. The company serves a broad ecosystem of brands, agencies, and publishers, positioning itself as a privacy-first alternative to behavioral targeting in a post-cookie advertising landscape. GumGum has been recognized as a leader in contextual advertising by analysts and industry bodies, and its technology is used by major global brands and media agencies. As third-party cookies face deprecation and privacy regulations tighten globally, GumGum has emerged as a strategically important player in the AdTech ecosystem. The company competes with other contextual and privacy-focused advertising platforms and has expanded its capabilities through partnerships and product development to address brand safety, attention measurement, and cookieless targeting. GumGum operates globally with offices across North America, Europe, and Asia-Pacific.

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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