Many platforms provide only fragmented data in proprietary formats. Studies report that today’s CTV measurement approach is a “puzzle” of disparate platform metrics – with varying attribution models, time windows, and reach methodologies – resulting in signal loss and multiple truths for advertisers. In addition, flawless integration of video ad tech and content monetization solutions requires a profound understanding of streaming technologies, platforms, and players to meet the needs of advertisers, solution providers, and targeted audiences.
Our research is aimed at professionals in the media industry who are navigating the latest trends and technologies in advertising. In this constantly evolving landscape, we offer innovative solutions to overcome the challenges of fragmentation. We develop tailored Ad Tech solutions that help companies in the streaming and media sector successfully bring innovative offerings and services to the market.
Research Focus and Technologies
- Ad Tech (SSAI / SGAI, DAS, DAI, etc.) for all video platforms and media outlets
- AI for Multimodal Context Analysis: Leveraging large multimodal language/image/audio models to detect content and sentiment in video streams
- Development of new ad formats for CTV and hybrid TV
- Development of new technologies and methods for analyzing and optimizing media content
- Data integration and harmonization
- AI-powered analytics and measurement models (metrics)
- Open interfaces and protocols
Our research-driven tech solutions bridge the gap between the high expectations of modern advertisers, platforms, solution providers, and viewers. It leverages scientific innovation and addresses the economically relevant needs of advertisers, agencies, ad tech platforms, and streaming providers.