WASHINGTON - The Federal Aviation Administration (FAA) is seeking proposals for a secure, scalable data integration and analytics platform to support modernization efforts at the FAA Logistics Center (FAALC), according to a government solicitation released by the agency.
FAALC is seeking a commercially available platform that can integrate, govern, analyze, and operationalize large volumes of logistics, financial, systems engineering, and program management data to improve decision-making related to aviation safety, homeland security, and airspace sovereignty.
According to the solicitation, the platform must comply with federal policies governing artificial intelligence (AI) adoption and governance, including Executive Orders 13859, 13960, and 14319, as well as Office of Management and Budget memoranda M-21-06 and M-26-04. The FAA said all AI-enabled capabilities must be lawful, trustworthy, explainable, secure, resilient, and auditable.
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COTS in mind
The agency is seeking an off-the-shelf platform built on a foundry-based data architecture that combines data ingestion, governance, analytics, and operational workflows in a single environment. The solicitation states that the underlying foundry framework must be owned and licensed by a single commercial entity and not be available for third-party replication or redistribution.
FAALC said the platform must be available and ready for deployment at the time of contract award and demonstrate evidence of successful, similar deployments. The system is intended to support both domestic and international operations, including monitoring and maintenance of communications and surveillance systems used by FAA partners involved in homeland security.
Key functional areas include dashboards and reporting, funds utilization, cost and revenue estimates, service order profiles, and automated business plan development. The platform must support structured and unstructured data, including PDFs, images, and free-text documents, and provide tools to extract and transform unstructured information into usable structured data.
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The FAA also requires extensive data lineage, traceability, and versioning capabilities, enabling users to reconstruct historical data states and understand how datasets are derived and transformed over time. Open application programming interfaces are required to allow integration with third-party tools, databases, and external systems.
Machine learning
Advanced analytics and machine learning capabilities are central to the requirement. The solicitation calls for support for supervised, unsupervised, semi-supervised, and topic modeling algorithms, as well as decision-support models that incorporate human expert judgment. The platform must provide an isolated sandbox environment for experimentation and support analytics development using languages such as Python, R, Java, and SQL.
The contractor will be required to provide forward-deployed engineers to work directly with FAA personnel, tailoring solutions and acting as both technical providers and consultants. The FAA will retain unlimited rights to all FAA-owned data, while contractor-owned software and platform components will remain proprietary.
Responses to the solicitation are due by 5:00 p.m. Eastern Time on 4 February 2026. The FAA listed Jason Perry as the primary point of contact for this solicitation, who can be emailed at [email protected].
