This is like a super-smart TV ad matcher that watches the show in real time, figures out what it’s about and who is likely watching, and then picks the most relevant ad to show that viewer – without needing their name or cookies.
Connected TV (CTV) advertisers are losing signal from cookies and device IDs, making it harder to reach the right audiences and prove performance. This solution uses AI to infer context and behavior so brands can still target effectively and maintain addressability in a privacy-constrained world.
If operated by a scaled CTV/SSP platform, defensibility comes from exclusive log‑level viewing data, publisher relationships, trained proprietary models on large CTV inventories, and tight workflow integrations with buyers and publishers.
Hybrid
Vector Search
Medium (Integration logic)
Real-time inference latency and cost at CTV scale (per-impression scoring under tight timeouts), plus data privacy constraints on log-level viewing data.
Early Majority
Focus on AI-enhanced contextual plus behavioral signals specifically tuned for CTV inventory, likely using publisher-side data and on-page/stream content understanding rather than relying solely on legacy ID-based targeting.