Question: I'm looking for a solution that uses machine learning to curate ad inventory in real-time, without relying on audience data.

If you need a solution that uses machine learning to curate ad inventory in real-time without relying on audience data, Yieldmo is a top contender. It has a real-time curation system that blends privacy-compliant contextual data with machine learning to optimize ad inventory for video, native and display ad formats. The system is geared for both buyers and sellers, offering actionable inventory insights, flexible deals tools and smart curation to optimize media performance.

Another top contender is Proximic, which uses AI-powered contextual intelligence to boost audience engagement and monetization without using user identifiers. Its Audience Targeting component lets media buyers target demographics and behaviors, while Content Targeting places ads next to contextually relevant and brand-safe content. The system is designed for a variety of media sellers and offers privacy-centric inventory curation tools.

Implicit is also worth considering for its AI-powered digital advertising system that doesn't need user data. It uses a panel of representative internet users and more than a billion signals to deliver precise targeting, boosting performance and clickthrough rates and conversions. The system's cookie-free approach means high quality and transparency in ad campaigns, making it a good option for privacy-sensitive advertisers.