The Federal Aviation Administration (FAA) has issued a Market Survey/Request for Information (RFI) to gather innovative solutions for modernizing its application and database infrastructure. This RFI, superseding the previous Software Solution Delivery (SSD) acquisition, seeks to address legacy technical debt and complex interoperability requirements across the entire FAA through a Challenge Based Acquisition (ChBA) model. The FAA's objectives include reducing sustainment costs, increasing operational efficiency, improving system interoperability, and adopting sustainable, future-ready solutions. Key challenges involve data sensitivity, integration with existing systems, business continuity, and ensuring scalability. The RFI requests industry feedback on acquisition structures, platform recommendations, challenge design, timelines, participant selection, evaluation metrics, cost assessment, and risk mitigation strategies. Responses are due by January 7, 2026, and will inform the FAA's acquisition strategy.
The FAA's RFI for Innovative Solutions for Application and Database Modernization seeks recommendations for modernizing 200 applications and 3,000 databases. The incumbent for the previous Software Solution Delivery (SSD) contract was Karsun Solutions, but this new Challenge Based Acquisition (ChBA) is distinct and replaces the cancelled SSD follow-on procurement. The FAA is open to both modernizing existing technology and developing greenfield solutions, and the ecosystem is not built around a specific technology stack. The agency aims for a contract award in FY26, but the final vehicle type (e.g., IDIQ, OTA) is undetermined. The scope is broad, encompassing both standalone and interdependent systems, and the FAA is seeking recommendations on various aspects including application rationalization, acquisition models, and AI-enabled approaches. Information on specific applications, databases, or detailed legacy environments will be provided in later phases. The RFI responses have a 15-page limit, excluding the cover page.