Cody Coleman
Cody Coleman is the co-founder and CEO of Coactive AI, a platform that enables companies to search, analyze, and extract insights from large libraries of images and video using AI. Coactive serves media, entertainment, and content-heavy enterprises that need to make sense of unstructured visual data at scale, giving it relevance to advertising and media workflows around content discovery and brand safety. Coleman's background is rooted in machine learning research. He was a PhD student at Stanford University, where he worked in the Stanford DAWN (Data Analytics for What's Next) lab under Professor Matei Zaharia and others, focusing on efficient machine learning and data systems. His academic work included research on benchmarking ML training and making AI more accessible and efficient. Prior to founding Coactive, Coleman was recognized as a rising voice in the applied ML community, with research contributions that bridged systems and machine learning. His work at Coactive translates that research foundation into enterprise tooling for visual content intelligence.
Last updated Oct 26, 2026 by ATDb automated enrichment
AI-drafted from public sources1 source cited
- Years in industry
- 5 years
Bio
Cody Coleman is the co-founder and CEO of Coactive AI, a platform that enables companies to search, analyze, and extract insights from large libraries of images and video using AI. Coactive serves media, entertainment, and content-heavy enterprises that need to make sense of unstructured visual data at scale, giving it relevance to advertising and media workflows around content discovery and brand safety. Coleman's background is rooted in machine learning research. He was a PhD student at Stanford University, where he worked in the Stanford DAWN (Data Analytics for What's Next) lab under Professor Matei Zaharia and others, focusing on efficient machine learning and data systems. His academic work included research on benchmarking ML training and making AI more accessible and efficient. Prior to founding Coactive, Coleman was recognized as a rising voice in the applied ML community, with research contributions that bridged systems and machine learning. His work at Coactive translates that research foundation into enterprise tooling for visual content intelligence.
Expertise & education
Expertise
Education
- PhD (Machine Learning / Computer Science), Stanford University
Speaking topics
Recognition
Notable achievements
- Co-founded Coactive AI, building enterprise visual intelligence infrastructure for media and content companies
- Conducted influential ML benchmarking research at Stanford's DAWN lab focused on efficient AI training
Publications
- MLPerf: An Industry Standard Benchmark Suite for Machine Learning Performance (co-author)