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  4. ›Flying Training Analysis Modeling and Support RFI

U.S. Department Of Defense·Texas

Flying Training Analysis Modeling and Support RFI

Closes 3/5/2026$5M – $20MRequest for Information
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Description

The Air Education and Training Command (AETC) is seeking information on industry capabilities to provide 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. The required solution shall be a probabilistic model that accounts for process variance within AETC’s Undergraduate Pilot Training (UPT), Pilot Instructor Training (PIT), Euro-NATO Joint Jet Pilot Training (ENJJPT), Fighter Bomber Fundamentals (FBF), Combat Systems Operator (CSO), and Formal Training Unit (FTU) operations. Some key features of the required solution include: • Development and sustainment of a probabilistic analytical tool • Integration with DAF Data Fabric, including the Envision platform • Web-based interface accessible via CAC authentication • Support for "what-if" scenario analyses • Fuel consumption analysis and energy savings evaluation for SAF-IE • Provision of training, documentation, and helpdesk support for the system

Attached files

Contact

Jackson Hager(Contracting Specialist)

[email protected]

Key dates

Opened
2/19/2026
Questions due
2/26/2026
Closes
3/5/2026

Last updated

Details

Type
Request for Information
Industry
Information Technology and Software Development
NAICS
541512
Solicitation №
RFI-FTAMS-001

Budget estimate

$5,000,000 – $20,000,000

The budget for this opportunity is not explicitly stated, but based on the scope of work, it is likely to be a multi-million dollar contract. The contractor will be required to provide a comprehensive analytical tool, training, and support, which will likely require significant resources and personnel. A rough estimate for the budget could be between $5 million and $20 million per year, depending on the complexity of the solution and the number of users.

AI estimate from the solicitation

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