IRIS.TV enables privacy-safe, content-level contextual targeting for video advertising through its IRIS_ID identifier, helping publishers increase inventory value and advertisers achieve brand-safe, relevant placements without relying on user-level data.
Last updated May 11, 2026 by jonholm
Leading provider of content-level video intelligence and contextual data infrastructure for CTV and online video advertising
IRIS.TV is a pioneering video intelligence and contextual data platform that sits at the intersection of content and advertising technology. The company's core offering, IRIS_ID, provides a privacy-safe, content-level identifier that enables advertisers to target video inventory based on the actual content of video streams rather than relying on user-level data. This approach has become increasingly valuable in a post-cookie, privacy-first advertising landscape, allowing brands to reach relevant audiences through contextual signals derived from video content analysis. The platform works by analyzing video content at a granular level using AI and machine learning, generating contextual metadata and signals that can be used by demand-side platforms (DSPs), data providers, and brand safety vendors. IRIS.TV has built an extensive ecosystem of partnerships with major players across the AdTech stack, including integrations with leading DSPs, SSPs, and data companies like Oracle, Peer39, Pixability, and others. Publishers and streaming platforms use IRIS.TV to make their video inventory more addressable and valuable to programmatic buyers. IRIS.TV occupies a unique and strategically important position in the AdTech ecosystem as the industry transitions away from third-party cookies and device-level identifiers. By providing a standardized content-level identifier for video, the company has positioned itself as essential infrastructure for connected TV (CTV) and online video advertising. Its technology helps publishers increase CPMs, improve fill rates, and offer brand-safe, contextually relevant environments to advertisers, while giving buyers greater confidence and transparency in their video ad placements.
A privacy-safe, content-level identifier for video that enables contextual targeting across CTV and online video inventory without relying on user-level data or cookies.
AI-powered video content analysis that generates granular contextual metadata and signals from video streams to inform ad targeting and brand safety decisions.
A recommendation and programming engine that helps publishers and streaming platforms deliver personalized video content experiences to increase engagement and watch time.
Content classification and analysis tools that help advertisers ensure their ads appear alongside appropriate and brand-suitable video content.