Intel Data Applications

The Intel Data Applications program, outlined in Program Element (PE) 0208288F of the Air Force's FY2026 Research, Development, Test & Evaluation (RDT&E) budget, is focused on advancing the operational capabilities of intelligence data processing and dissemination for combat and combat support users. The primary goal of this program is to develop and enhance communication infrastructures that can efficiently handle and apply multiple types of intelligence data, including datasets, databases, models and simulations, and analytical products. This infrastructure is intended to support both current and future operational Processing, Exploitation, and Dissemination (PED) systems, ensuring timely and actionable intelligence for decision-makers.

A significant objective of the Intel Data Applications program is the development of advanced signal processing techniques, process automation, data triage, and the integration of artificial intelligence and machine learning (AI/ML) algorithms. These efforts aim to accelerate the processing and extraction of intelligence data, thereby enhancing the speed and accuracy of intelligence support to operational forces. The program supports competitive accelerated prototyping, technology demonstrations, and the development, testing, and integration of operations-ready applications, with a focus on rapid transition to fielded systems.

Within this program, the Space Superiority - Advanced Intelligence Systems project is a key line item. This project is specifically tasked with developing tools, models, and simulations to inform Scientific and Technical Intelligence (S&TI) analysis, as well as evaluating and selecting the most capable automation prototypes for further development, testing, integration, and operational deployment. The project's efforts are closely aligned with the Air Force's broader goal of maintaining space superiority through advanced intelligence capabilities.

One of the notable initiatives under this program is Radar PED Automation. This initiative focuses on executing competitive accelerated prototyping efforts, conducting technology demonstrations, and developing, testing, and integrating operations-ready applications into PED systems. In FY2024 and FY2025, the program continued dynamic radar targeting efforts. In FY2026, the focus shifts to developing and evaluating advanced automation tools and models to support S&TI analysis and operational fielding.

The program also supports the Threat Representation and Validation project, which is funded through Overseas Operations Costs (OOC) and mandatory reconciliation funds. This project is critical for ensuring that intelligence systems can accurately represent and validate emerging threats, supporting both operational readiness and the development of countermeasures. Funding for this effort reflects its importance in the overall intelligence modernization strategy.

To optimize workforce efficiency in line with Executive Order 14210, the program includes a reduction of civilian personnel full-time equivalents and associated funding. This adjustment is part of a broader Department of Defense initiative to streamline operations and ensure the most effective use of resources. Civilian pay expenses remain a significant portion of the program's budget, supporting the management, execution, and delivery of weapon system capabilities.

The acquisition strategy for Intel Data Applications leverages established contract vehicles such as NASIC NOVASTAR and AFRL InSite, ensuring access to specialized expertise and rapid procurement processes. These contracts support the program's emphasis on accelerated development and fielding of advanced intelligence applications. The Intel Data Applications program is a critical component of the Air Force's efforts to modernize intelligence infrastructure and maintain operational superiority in increasingly complex and contested environments.