IKIN White Paper: AI Method for Privacy-Preserving Hyper-Personalized Ads

IKIN, the San Diego-based visual technology company, published a white paper titled “A Privacy-Preserving, Hyper-Personalized Engagement Platform using Generative AI Comprehensive Quality and Banding Assurance.” The paper was authored by Bryan Westcott (Director of Applied Artificial Intelligence) and Chris Vela (Principal Data Scientist).

The document describes a novel advertising personalization system that sidesteps traditional privacy-invasive approaches — no browser cookies, no exported personal data. Instead, all personalization processing happens on-device using opt-in multimodal metadata, generative AI, and a patented diffusion-based compression pipeline.

“The technology disclosed in this report enables the use of AI, metadata, and information residing on the end-user device to personalize targeted advertisements without the export of any personal or private user information.” — Joe Ward, CEO of IKIN

Core Technology

The platform integrates several advanced techniques to deliver personalization without a privacy trade-off:

• Patented diffusion-based compression for video and imagery
• Opt-in multimodal metadata sourced from on-device APIs
• On-device generative AI processing — data never leaves the device
• LoRA and ControlNet guidance for brand-safe creative generation
• Advanced segmentation and quality assurance for brand integrity

The approach is designed to meet consumer privacy compliance requirements while remaining commercially viable for advertisers — a balance the industry has struggled to achieve since the deprecation of third-party cookies.

Read the White Paper