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Brief
Peer39

Peer39

Contextual Intelligence & Brand Safetypeer39.com

Peer39 enables advertisers to achieve precise contextual targeting and brand safety without relying on personal data, leveraging real-time semantic page analysis across billions of digital environments.

Last updated Aug 28, 2026 by ATDb automated enrichment · Connections updated Aug 31, 2026

Founded
2006
HQ
New York, New York, United States
Connections
22

At a glance

Employees
51-200
Funding
$16.8M
Revenue
$10M-$50M
Stock
N/A
13integrations2competitors1corporate family

About

One of the original contextual intelligence platforms, offering deep semantic analysis and brand safety solutions for programmatic advertising at scale

Founded in 2006 and headquartered in New York, United States, Peer39 is a pioneer in contextual advertising technology. The company specializes in semantic page analysis, enabling advertisers, agencies, and publishers to understand the meaning and quality of digital content at scale. Its platform classifies billions of web pages and digital environments in real time, providing actionable signals for brand safety, brand suitability, and contextual targeting across display, video, and CTV inventory. Peer39's technology operates independently of cookies or personal identifiers, making it particularly relevant in the post-third-party-cookie era. The platform integrates directly with major DSPs, SSPs, and ad servers, allowing buyers to apply pre-bid contextual segments and brand safety filters seamlessly within existing programmatic workflows. Its category taxonomy covers thousands of content classifications, sentiment signals, and quality metrics that help brands avoid unsafe environments while maximizing contextual relevance. In the AdTech ecosystem, Peer39 is recognized as one of the foundational contextual intelligence vendors, competing with companies like Integral Ad Science, DoubleVerify, and Oracle Contextual Intelligence. The company was acquired by Sizmek and later by various entities over the years, but continues to operate as an active, independent contextual intelligence platform. Its privacy-first approach and deep semantic analysis capabilities have positioned it as a critical partner for advertisers navigating signal loss and evolving data privacy regulations.

Business model

SaaS / Data Licensing

Target market

Enterprise

What they offer

  • Contextual Targeting Segments

    Pre-built and custom contextual segments based on semantic page analysis for precise audience targeting without personal data

  • Brand Safety & Suitability

    Pre-bid and post-bid brand safety filters that classify content risk levels to protect advertiser brand reputation

  • Page Quality Scoring

    Evaluates digital inventory for quality signals including ad clutter, content quality, and viewability indicators

  • Semantic Analysis Engine

    Real-time NLP-based engine that classifies billions of web pages across thousands of content categories and sentiment signals

  • CTV & Video Contextual Intelligence

    Extends contextual and brand safety capabilities to connected TV and video environments

  • Custom Segment Builder

    Allows advertisers and agencies to create bespoke contextual segments tailored to specific campaign objectives

Key features

Real-time semantic page classificationPre-bid brand safety and suitability filteringCookie-free, privacy-first contextual targetingThousands of IAB and custom content categoriesIntegration with major DSPs and SSPsCTV and video contextual supportSentiment and emotion-based targeting signalsPage quality and ad environment scoring

Use cases

Pre-bid brand safety filtering in programmatic campaignsContextual audience targeting without third-party cookiesPost-cookie identity-free advertising strategiesBrand suitability customization for sensitive advertisersPublisher inventory quality classificationCTV content-level contextual targetingAgency-managed brand safety enforcement across multiple clients

Customer segments

Programmatic advertisers and brandsMedia agencies and trading desksDemand-side platforms (DSPs)Supply-side platforms (SSPs)Publishers and ad networks

Tech & specs

Technology stack

Natural Language Processing (NLP)Machine LearningReal-time bidding (RTB) integrationREST APIsCloud infrastructure

Security & compliance

GDPRCCPAIAB TCF 2.0

Deployment

Cloud

API

Yes

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