Project Information

Bid Title

Flying Training Analysis Modeling and Support RFI

Issuing Agency

DEPT OF DEFENSE

Location

Texas

Published Date

Feb 19, 2026

Closing Date

Mar 6, 2026

Government Level

Federal

Status

Closed

Ref. #

RFI-FTAMS-001

Original Source

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Bid Inquiries

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Bid Documents

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Set Aside

No Set aside used

Project Description

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Flying Training Analysis Modeling and Support RFI

Active

Contract Opportunity

Notice ID

RFI-FTAMS-001

Related Notice

Department/Ind. Agency

DEPT OF DEFENSE

Sub-tier

DEPT OF THE AIR FORCE

Major Command

AIR EDUCATION AND TRAINING COMMAND

Office

FA3002 338 ESS CC

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General Information

• Contract Opportunity Type: Sources Sought (Original)
• Original Published Date: Feb 19, 2026 02:37 pm CST
• Original Response Date: Mar 06, 2026 12:00 am CST
• Inactive Policy: 15 days after response date
• Original Inactive Date: Mar 21, 2026
• Initiative:
  • None

Classification

• Original Set Aside: No Set aside used
• Product Service Code:
• NAICS Code:
• Place of Performance:
  JBSA Randolph , TX
  USA

Description

Request for Information (RFI)

Solicitation Name: Flying Training Analysis Modeling and Support RFI

Issue Date: February 6, 2026

1.0 Executive Summary

The Air Education and Training Command (AETC) is issuing this Request for Information (RFI) to identify potential sources capable of providing an analytical tool and associated services to model and analyze its flying training enterprise. The objective is to enhance decision-making by forecasting the impact of resourcing and requirement decisions across AETC’s Flying Training enterprise. This RFI is being issued solely for information and planning purposes and does not constitute a Request for Proposal (RFP) or a commitment to issue an RFP in the future.

2.0 Background and Purpose

2.1 Background

AETC/A9 is responsible for providing Headquarters (HQ) AETC and 19th Air Force (19 AF) with aircrew training program analyses. The 19 AF oversees operational-level command and control of all formal aircrew flying training missions within AETC. The agency requires a probabilistic analytical tool to forecast the outcomes of resourcing and requirement decisions across various training programs, including Undergraduate Pilot Training (UPT), Pilot Instructor Training (PIT), and others.

2.2 Purpose

The purpose of this RFI is to gather information on industry capabilities to provide a secure, web-based analytical tool that integrates data from multiple sources, performs advanced modeling, and supports decision-making for flying training operations. The system must also support SAF-IE in evaluating fuel consumption metrics and energy savings plans.

2.3 Performance Work Statement (PWS)

An attached Draft Performance Work Statement (PWS) provides additional guidance to outline the desired end state and high-level objectives for this initiative. Respondents to this RFI should review the PWS to fully understand the scope of the project, the anticipated operational challenges, and the desired outcomes. While this RFI is focused on gathering information, potential respondents are encouraged to reference the PWS in their responses where applicable to provide targeted and relevant solutions that align with the objectives

3.0 Current Environment and Challenges

AETC currently faces challenges in analyzing the impact of resource allocation, training syllabus changes, and operational factors on pilot training production. Existing tools lack the capability to perform high-fidelity, probabilistic modeling and are not integrated with the Department of the Air Force (DAF) Data Fabric. Additionally, there is a need to evaluate fuel consumption metrics and energy savings plans to support SAF-IE objectives.

4.0 Information Sought

AETC seeks information on the following capabilities:

• 
  

  Development and sustainment of a probabilistic analytical tool tailored to AETC’s flying training enterprise.

  
  


• 
  

  Integration with DAF Data Fabric, including the Envision platform, for data ingestion and result dissemination.

  
  


• 
  

  Web-based interface accessible via CAC authentication, with dashboard visualization capabilities.

  
  


• 
  

  Support for "what-if" scenario analyses, including resource allocation, syllabus changes, and fleet transitions.

  
  


• 
  

  Fuel consumption analysis and energy savings evaluation for SAF-IE.

  
  


• 
  

  Provision of training, documentation, and helpdesk support for the system.

  
  

4.1 Specific Questions

1. 
   

   1. What is your experience in developing probabilistic modeling tools for military or aviation applications?

   
   
   

   Please include examples of how your tools have supported decision-making and enhanced operational efficiency in similar organizations, and any innovative features that differentiate your solution.

   
   
   

   2. How does your solution integrate with existing data platforms such as DAF Data Fabric and Envision?

   
   
   

   What steps or considerations would you take to overcome potential integration challenges? Please provide examples of successful integration efforts with other data systems in past projects.

   
   
   

   3. What is your approach to ensuring data security and compliance with DoD cybersecurity requirements?

   
   
   

   Please include details on how your solution adheres to current standards while remaining adaptable to future cybersecurity requirements.

   
   
   

   4. What training and sustainment support do you provide for your analytical tools?

   
   
   

   How do you ensure scalability of your support model as user groups grow and system requirements expand?

   
   
   

   5. How does your solution accommodate growth in the volume and complexity of data over time?

   
   
   

   Please include specific design features or processes that ensure scalability in both performance and functionality.

   
   
   

   6. How is your solution designed to adapt to future changes in technology, operational requirements, or data environments?

   
   
   

   Can your tool easily incorporate emerging technologies (e.g., AI, machine learning) or integrate with evolving DoD systems?

   
   
   

   7. What risks or challenges do you foresee in integrating your solution with the existing DAF or AETC infrastructure?

   
   
   

   How would you mitigate these challenges to ensure a seamless, timely implementation?

   
   
   

   8. Are there any innovative tools, methodologies, or approaches not explicitly requested in this RFI that could better serve AETC’s objectives?

   
   
   

   Please explain how these features or approaches could enhance decision-making, operational efficiency, or long-term sustainability.

   
   
   

   9. What strategies do you employ to provide long-term support for your solution, including updates, technical refreshes, and user training?

   
   
   

   How does your sustainment model ensure cost-effectiveness over the lifecycle of the solution?

   
   

5.0 Response Instructions and Format

5.1 Submission Instructions

Capability Statements in response to this RFI must be submitted electronically through email to jackson.hager@us.af.mil NLT 6 March 2026, 1200 CST.

5.2 Format

Capability Statements in response to this RFI should be submitted in Microsoft Word or PDF format and must not exceed 5 pages (not including cover page and executive summary). The response should include the following sections:

• 
  

  Cover Page: Include company name, address, DUNS number, CAGE code, and point of contact information.

  
  


• 
  

  Executive Summary: Brief overview of your company’s capabilities and experience.

  
  


• 
  

  Technical Capabilities: Detailed description of how your solution meets the requirements outlined in this RFI.

  
  
  

  Responses should demonstrate how the proposed solution aligns with and supports the goals and objectives outlined in the attached Draft SOO.

  
  


• 
  

  Past Performance: Examples of similar work performed for DoD or other government agencies.

  
  


• 
  

  Security and Compliance: Description of how your solution complies with DoD cybersecurity requirements.

  
  


• 
  

  Additional Information: Any other relevant information or recommendations.

  
  

6.0 Points of Contact

Contracting Specialist: Jackson Hager, jackson.hager@us.af.mil

7.0 Submission Requirements and Deadlines

Any questions regarding this RFI must be submitted through email NLT 26 Feb 2026 .

10.0 Disclaimer

This RFI is issued solely for information and planning purposes and does not constitute a solicitation or obligation on the part of the Government. The Government will not reimburse respondents for any costs incurred in preparing responses to this RFI.

Attachments/Links

Contact Information

Contracting Office Address

• CP 210-652-7069 2021 FIRST STREET WEST BLDG 853
• JBSA RANDOLPH , TX 78150-4300
• USA

Primary Point of Contact

• Jackson Hager
• jackson.hager@us.af.mil

Secondary Point of Contact

History

• Feb 19, 2026 02:37 pm CSTSources Sought (Original)

Commodity Codes

• FSC RProfessional, Administrative and Management Support Services
• FSC UEducation and Training Services

• NAICS 541330Engineering Services
• NAICS 541611Administrative Management and General Management Consulting Services
• NAICS 541690Other Scientific and Technical Consulting Services
• NAICS 611430Professional and Management Development Training

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