Imagine every person watching TV or scrolling online sees an ad that’s been instantly rewritten and re-edited just for them—different script, images, and product angle—created automatically by AI instead of a big creative team doing one version for everyone.
Reduces the cost and time of producing large volumes of ad variants, enabling highly personalised and rapidly testable creative at scale while trying to keep user experience from crossing into invasive or ‘creepy’ territory.
Access to large-scale behavioural and performance data (who responds to which ad version), tight integration into brand and agency workflows, and proprietary creative/first‑party customer data that can fine‑tune models and targeting rules.
Hybrid
Vector Search
Medium (Integration logic)
Balancing real-time personalisation with privacy, regulatory constraints, and inference cost/latency at ad‑impression scale.
Early Majority
Differentiation comes from how safely and subtly the system uses personal and contextual data: avoiding uncanny or intrusive targeting, enforcing brand and safety constraints, and producing higher‑quality creative than generic ‘AI ad generators’ while remaining compliant with privacy rules.