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FAALC Data Modernization and AI Integration 6973GH-26-R-Data

Solicitation 6973GH-26-R-Data Copied Notice ID a482a2d76f194b278ab5bc7fdfded26d Copied TRANSPORTATION, DEPARTMENT OF — 6973GH FRANCHISE ACQUISITION SVCS
SAM.gov
Posted
Jan 21, 2026
Deadline
Feb 04, 2026
Set-aside
NONE
NAICS
541512
PSC
N/A

Summary

AI-generated · Jan 22, 2026

Leverage a market survey to identify firms capable of delivering advanced data modernization and AI integration services to build a secure, scalable data integration and analytics platform that can ingest diverse data sources and support modernization objectives. This information-gathering effort is not a SIR or RFP; responses are at vendors’ expense and confidential if properly marked.

Requirements include full compliance with federal AI governance policies (EOs 13859, 13960, 14319 and OMB M-21-06, M-26-04), and the platform must be deployment-ready at contract award with evidence of similar deployments. Demonstrate the ability to integrate Foundry software and services and provide Forward-Deployed Engineers who can act as on-site consultants/technical providers. The system should be an ontology-driven Foundry Operating System that unifies siloed data into a single actionable model, supporting internal analytics and assignment tracking across FAA functions (maintenance, financial management, program management, contracting). Look for platforms with proven reliability in aviation safety, government contracting, and financial data systems; include training and support. Submit a capability statement with relevant past projects, ROM cost estimates, and a programmatic approach, plus UEI and business size information; follow the submission instructions with the required subject line, and note that inquiries by phone are not accepted. This survey aims to gather industry insights to inform procurement strategies for backup generation systems.

THE FEDERAL AVIATION ADMINISTRATION LOGISTICS CENTER (FAALC) IS CONDUCTING A COMPREHENSIVE MARKET SURVEY TO IDENTIFY BUSINESSES CAPABLE OF PROVIDING ADVANCED DATA MODERNIZATION AND ARTIFICIAL INTELLIGENCE (AI) INTEGRATION SERVICES. THIS INITIATIVE IS CRUCIAL FOR ENHANCING THE FAALC'S TECHNOLOGICAL INFRASTRUCTURE. OUR GOAL IS TO ESTABLISH A SECURE, SCALABLE DATA INTEGRATION AND ANALYTICS PLATFORM THAT CAN ACCOMMODATE VARIOUS DATA SOURCES WHILE ALIGNING WITH OUR MODERNIZATION OBJECTIVES. Please note that this market survey is intended solely for information-gathering purposes. It is not a Screening Information Request (SIR) or Request for Proposal (RFP). Information submitted will remain confidential and proprietary information will be protected if appropriately marked. The FAA will not cover any costs incurred in responding to this survey; participation is at the vendors' own expense. Requirements: The FAALC mandates that the software be fully compliant with federal policies on AI adoption and governance, including Executive Orders 13859, 13960, and 14319, as well as Office of Management and Budget (OMB) Memoranda M-21-06 and M-26-04. This ensures that AI capabilities are trustworthy, lawful, purposeful, performance-driven, accurate, secure, resilient, and fully auditable with governance controls, while adhering to federal principles of truth-seeking, transparency, and ideological neutrality. The platform must be deployment ready at the time of contract issuance and should have evidence of successful, similar deployments. Businesses are required to demonstrate their ability to integrate Foundry software and services, ensuring efficient data management, real-time processing, and compliance with federal regulations. The FAALC needs a system to be able to provide an appropriate FDE Model (Forward-Deployed Engineers) to understand their unique problems and build tailored solutions on the spot, acting as a consultant as well as a tech provider. In addition, the system should act as an ontology-driven Foundry Operating System unifying complex, siloed data into a single, actionable model. The North American Industry Classification System (NAICS) codes and size standards for this effort: NAICS 541512, Computer Systems Design Services Size Standard $34.0 Scope: Develop a scalable analytics platform for advanced data analysis, predictive modeling, and machine learning applications. AI integration to enhance decision-making and adaptability to evolving FAA requirements, with training and support provided. Ensure seamless data sharing while maintaining data integrity and security. Configure the platform for internal analytics and assignment tracking to support collaboration across various functions, including maintenance, financial management, program management, and contracting actions. A platform with proven reliability in managing aviation safety, government contracting, and financial data systems. Submission Requirements: Capability Statement: Detailed description of similar projects and procurement/service fulfillment. Information on previous contracts and awards, including types, dollar amounts, and performance details. Statement of interest and capabilities in data modernization and AI integration. Programmatic Approach: Provide rough orders of magnitude (ROM) for cost estimates. Key Areas of Interest: An ontology-driven platform integrating data from different FAA systems into a unified "operating system." Proven functionality with other governmental systems (FAA). Business Size: Provide UEI and business size Submission Details: All responses must be submitted electronically by 4:00 p.m. Central Time (Oklahoma Time) on February 4th, 2026. Please send submissions to the following email addresses with the subject line "FAALC DATA MODERNIZATION AND AI INTEGRATION": Jason.M.Perry@faa.gov All information provided will remain confidential. Vendors are encouraged to mark proprietary documents accordingly. No phone inquiries will be accepted; all questions must be submitted in writing via the email addresses provided. This survey aims to gather comprehensive industry insights to inform effective procurement strategies for backup generation systems.

From Sources Sought posted on Jan 21, 2026

Notice history

1
  1. Sources Sought LATEST Posted Jan 21, 2026

Details

Solicitation number 6973GH-26-R-Data
Notice ID a482a2d76f194b278ab5bc7fdfded26d
Notice type Sources Sought
NAICS 541512
Set-aside No Set aside used
Place of performance USA
Archive date Feb 05, 2026

Award Information

Not yet awarded

Documents

1
View on SAM.gov

Contacts

primary
Jason Perry

Email

Agency

TRANSPORTATION, DEPARTMENT OF
FEDERAL AVIATION ADMINISTRATION
6973GH FRANCHISE ACQUISITION SVCS

Place of Performance


USA

Dates

Posted Jan 21, 2026 6 months ago
Last Updated Aug 06, 2026 2 days ago
Due Feb 04, 2026 6 months ago