Peer39
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
At a glance
- Employees
- 51-200
- Funding
- $16.8M
- Revenue
- $10M-$50M
- Stock
- N/A
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
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes