Secure and Targeted Interception and Distribution of Large Data Files

latakoo Manifest is a user-facing interface that transforms incoming video (and other) data into relevant, time-critical, actionable information in near real-time. Manifest uses Machine Learning to automatically associate dense audio-visual media, user-generated metadata, and machine-generated metadata into manageable and digestible groups of content, segregated by topic and sorted by criticality. Users and Organizations can set default topics or create them as needed to intercept targeted data. Manifest infers additional topics of significance directly through analysis of all accessible data, ensuring that topics presented to the user maintain relevance with the evolving data streams at any given time. Manifest can simultaneously support any quantity data sources, video and otherwise, by leveraging the latest cloud infrastructures’ scalability. latakoo's novel Generative video codec is built upon patented technology co-developed with the University of Texas, that should achieve professional-level performance on consumer-grade hardware by leveraging an architecture tailored to GPGPU compute. Designed for real-time video streaming and 3D viewing, Generative is a video format for interactive aircraft operator training systems requiring on-demand scene creation, encoding, transmission, and display to high-resolution AR/VR interfaces. For this Phase I effort, latakoo will perform customer discovery within the USAF ISR Agency (AFISRA), the 19th Air Force (Air Education and Training Command), and USAF Acquisition and Sustainment Office to gather use cases, process information, and needs regarding transfer and delivery of large files and quick transfer of many other forms of data. The goal of this project is to ddetermine the most appropriate pilot site and partner with a team at the pilot site to design a technically achievable pilot plan that incorporates latakoo’s technology and satisfies AFISRA and/or 19th Air Force, and/or the Air Force acquisition and sustainment requirements specified by the stakeholders and end-users in the AF.