Skip to content
T

Teg Grenager

Co-Founder & CTO at Proximic (acquired by Comscore)

Building Proximic's AI-powered contextual content classification platform, which became a leading cookieless targeting solution and was acquired by Comscore in 2014.

OperatorSan Francisco, California, United States15+ years in industry

Last updated Jun 11, 2026 by ATDb automated enrichment

Bio

Teg Grenager is best known as the co-founder and CTO of Proximic, a contextual intelligence and content classification company that became a foundational player in programmatic advertising's shift toward cookieless targeting. Proximic developed sophisticated machine learning and natural language processing technology to analyze and categorize web content at scale, enabling advertisers to reach relevant audiences based on page context rather than user tracking — a capability that proved prescient as the industry moved away from third-party cookies. Comscore acquired Proximic in 2014, integrating its technology into Comscore's broader audience and measurement offerings. Grenager's background spans machine learning, natural language processing, and applied AI, with academic roots at Stanford University where he conducted research in computational linguistics and NLP. This technical foundation informed Proximic's core product, which used semantic analysis to classify content across the open web with high precision. His work helped establish contextual targeting as a credible, scalable alternative to behavioral advertising at a time when the industry was still heavily reliant on cookies. Following the Comscore acquisition, Grenager continued to contribute to the evolution of contextual and privacy-safe advertising technology. His career represents a through-line from academic NLP research to real-world AdTech infrastructure, making him a notable figure in the intersection of machine learning and digital advertising.

Previous Roles

Co-Founder & CTO

Proximic (2007-2014)

Research Scientist / PhD Researcher

Stanford University (NLP Group) (2002-2007)

Expertise
Contextual TargetingContent ClassificationNatural Language ProcessingMachine LearningCookieless AdvertisingProgrammatic AdvertisingAudience IntelligencePrivacy-Safe Advertising
Education
  • PhD, Computer Science (Natural Language Processing), Stanford University
  • BS, Computer Science, Stanford University
Notable Achievements
  • Co-founded Proximic, one of the earliest and most sophisticated AI-driven contextual targeting platforms in AdTech
  • Led Proximic through acquisition by Comscore in 2014, integrating contextual intelligence into a major measurement platform
  • Developed NLP-based content classification technology that anticipated the industry's pivot to cookieless targeting
Speaking Topics
Contextual advertising and cookieless targetingMachine learning applications in AdTechContent classification at scalePrivacy-safe audience solutions
Publications
  • Academic publications in computational linguistics and NLP from Stanford University research