NumberEight
NumberEight develops on-device AI software that utilizes mobile sensors to predict user context and behavior without relying on personal identifiers. This technology enhances ad revenue by providing ID-less demographic insights and behavioral intelligence, achieving an average revenue increase of 15% while ensuring privacy compliance.
- Advertising Technology
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Funding
Raised to date
$5.7MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The advertising industry faces increasing challenges in targeting relevant audiences due to growing privacy concerns and the deprecation of traditional identifiers like MAIDs and cookies. This makes it difficult for publishers and ad platforms to effectively monetize their inventory and for advertisers to reach the right users at scale. The need for privacy-compliant, scalable targeting solutions is critical.
Solution
NumberEight provides an on-device AI platform that predicts user context and behavior without relying on personal identifiers. By leveraging mobile sensor data and edge computing, NumberEight delivers ID-less demographic and behavioral intelligence, enabling precise audience targeting while ensuring user privacy. The platform offers a suite of solutions for omnichannel affinity curation, contextual curation, and live behavioral targeting, empowering publishers, ad platforms, and agencies to enhance ad revenue and campaign performance across various channels, including mobile, podcasting, and CTV. NumberEight's technology allows for increased addressability and higher CPMs without compromising privacy compliance.
Target Audience
NumberEight's primary customers include publishers, ad platforms, and advertising agencies seeking privacy-compliant audience targeting and monetization solutions.
Features
- On-device AI processing for real-time user context prediction
- ID-less architecture compliant with global data protection regulations
- 200+ live moments and 85+ behavioral cohorts based on real-world actions
- Omnichannel affinity curation for targeting specific audience segments across mobile, podcasting, and CTV
- Contextual curation to enrich inventory with streamlined data access
- Live and behavioral targeting for maximizing inventory value with in-moment insights
- Integration with first-party data to create a massive, labeled dataset
- Support for privacy-enhancing techniques like federated learning and zero-PII analytics