The Aperiam Podcast The Context of CTV
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Mar 4, 2026 Raghu Kodige, CEO and co-founder of Anoki, builds an AI-driven contextual intelligence layer for connected TV. He discusses scene-level targeting and how content context can replace missing CTV data. Raghu explains real-time integration, AI transparency with verification tools, why news inventory is undervalued, and how generative AI speeds product development.
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Content Is The First-Party Data CTV Needs
- CTV lacks first-party cookies so the richest targeting signal is the content itself.
- Anoki analyzes video frames down to scenes to extract objects, sentiment, tone and use those signals for real-time targeting.
CES Demo Made Marketers Feel The Contextual Impact
- Raghu demoed live at CES showing a brand creative inserted into a relevant scene and impressed marketers in the room.
- Joe and attendees reacted emotionally to scene-matched ads that aligned sight, sound and sentiment with the creative.
Give Buyers A Visual AI Co-Pilot They Can Verify
- Make AI transparent so buyers can verify outputs; provide visual, hands-on tools as proof.
- Anoki gives agencies logins and a co-pilot UI that shows scenes tied to creatives so buyers can see and edit matches.