Notice ID: ab03c1003914466ca962c2864ad80139Sources Sought
Joint Simulation Environment (JSE) Contractor Logistics Support (CLS)
Archived on May 2, 2026. Original response deadline: . Full description on SAM.gov.
Description
One Week Extension on the response date is being provided since responses to vendor questions are being provided late. Responses now due 17 April 2026
The Joint Simulation Environment (JSE) is a software acquisition program, originally developed by the US Navy for F-35 testing, and is now an Air Force program of record. Its purpose is to create a digital test and training range for 4th, 5th, and 6th generation aircraft. The program's goals are to continuously deliver the core software, integrate high-fidelity simulator training systems, and field the capability at designated sites.
The JSE Program requires a contractor to manage training and product support at its Joint Integrated Test and Training Centers (JITTCs), currently located at Nellis AFB, NV, and Joint Base Elmendorf-Richardson, AK, with the potential for future expansion. These sites will house a mix of JSE and non-JSE compliant training systems from various manufacturers, all supported by commercial off-the-shelf (COTS) components. The facilities will feature server farms, complex audio/visual systems for mission briefings, and will operate on secure networks up to the TS/SCI and SAP levels. Ultimately, JSE will provide warfighters with a secure virtual battlespace to train for future conflicts.
Overview
Agency:
Department of WarDepartment of the Air Force
Office:AIR FORCE MATERIEL COMMAND.AIR FORCE LIFE CYCLE MANAGEMENT CENTER.TRAINING.FA8635 ADV TRNG CPBLTES AFLCMC WNRK
Posted:April 10, 2026
NAICS:Not specified
Last Updated:Aug 21, 2026
PSC:U008: EDUCATION/TRAINING- TRAINING/CURRICULUM DEVELOPMENT
Set-Aside:No Set aside used
Type:Sources Sought
Place of Performance:Nellis AFB, Nevada, 89191
Award Overview
Possible prior contracts
Sign in to see possible prior contracts for this requirement (matched by agency, NAICS and place of performance; not confirmed).
Contacts
Contracting Officer
Primary Contact
Matthew Mercer
Secondary Contact
Elizabeth Moles
Documents
Showing 1 of 1 items
Document | Source | Agency | Posted Date | File Size | Actions | |
|---|---|---|---|---|---|---|
| Sources Sought | DEPT OF THE AIR FORCE | Apr 10, 2026 | 625.04 KB |
Lifecycle
Solicitation:
A060291- Market Research
Pre-solicitation or formal solicitation typically follows within 30–180 days. (estimate)
- 5×Market ResearchCurrentMar 17, 2026
Joint Simulation Environment (JSE) Contractor Logistics Support (CLS)
Similar Opportunities
Title | Phase | Agency | NAICS | Set Aside | Posted | Deadline | Location |
|---|---|---|---|---|---|---|---|
Pursuant to the foregoing Executive Order and the Enabling Statute, the Department of the Air Force (the “DAF” or the “Government”) is issuing this draft Request for Lease Proposal (the “RFLP”) to solicit information from entities (“Offeror(s)”) interested in entering into a long-term ground lease (the “Lease”) to lease all or a portion of that certain real property located at North Las Vegas, Clark County, Nevada comprised of approximately fifty one (51.1) acres of land outside of the fence line of the Installation (the “Property”) from the Government for the purposes of financing, permitting, developing, constructing, installing, owning, maintaining and operating improvements upon the Property for the Lessee’s private commercial (non-Federal government) use (collectively, the “Project”). In accordance with and subject to the terms, requirements, and conditions of this RFLP, the Government will evaluate all proposals received in order to select an Offeror as a “Potential Lessee” with whom to enter into lease negotiations. A Potential Lessee with whom the Government actually makes and enters into a written and legally binding lease agreement is hereinafter referred to as a “Lessee.” A Potential Lessee may not actually become a Lessee. The Government’s objectives in issuing this RFLP and leasing the Property include, but are not limited to, the following (collectively, the “EUL Objectives”): 1. Selecting a Potential Lessee that will lease and optimize the use of the Property in accordance with the Enabling Statute and within the constraints and restrictions documented in the RFLP; 2. Selecting a Potential Lessee that will optimize the consideration to be received by the Government in cash or in-kind in exchange for granting a leasehold interest in the Property. 3. Selecting a Potential Lessee that will lease and use the Property in a manner that minimizes risk to the Government; 4. Selecting a Potential Lessee that will lease and use the Property in a manner that is compatible with the Government mission and adjacent Government uses; 5. Selecting a Potential Lessee that will lease and use the Property in a manner that minimizes environmental and cultural impacts; 6. Selecting a Potential Lessee that will lease and use the Property consistent with best commercial practices; and 7. Selecting a Potential Lessee that will lease and use the Property in a manner that supports positive relations with local governmental authorities and the communities adjacent to the Property. | Solicitation | 531120 | No Set-Aside | 09/21/2026 | 10/08/2026 | 0, NV | |
*16 Oct 2026 - Amendment 4 updates SOO with correct links, the AMA slides/transcript, and updated Q&A *08 October 2026 - Amendment 3 adds the most up to date Q&A regarding the Call & updates Attachment 2 CDRL and deletes the initial one that was out of date. *08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document. The Joint All Domain Persistent Adaptive Collaborative Technologies (JADPACT) Project seeks to develop Human-Machine Teaming (HMT) concepts that leverage AI/Automation capabilities to support Battle Managers. C2 Decision Advantage events provide support for the ABMS Transformational Model decision functions and an opportunity to learn about and explore many different AI/automation approaches for Battle Management. Furthermore, the events and R&D aim to ensure warfighter involvement in the development of AI/autonomy and further identify areas where AI augmentation would support Battle Managers. The goal is to include industry to ensure work being done to develop and adapt the latest, cutting-edge AI/automation approaches can be leveraged and adapted to the needs of Battle Managers. This will be accomplished by seeking unique and innovative solutions to accomplish the defined technical requirements. The Combined Joint All-Domain Command and Control (CJADC2) Campaign Plan 2030 defines decision advantage as the ability to consistently make better, timelier decisions than the adversary. Current DAF command and control (C2) systems and processes are optimized for low intensity conflict and do not address decision advantage over the pacing challenge. Deriving effective C2 capability development toward decision advantage requires a clear understanding of what C2 decisions are. The DAF Advanced Battle Management System (ABMS) Cross Functional Team (CFT) provides a quantitative model for the Joint Warfighting Function of C2 as the Command, Plan, and Battle Management decision domains, supported by and integrated with Battle Analysis (military intelligence and surveillance). Each of these decision domains are decomposed in the Transformational Model for Decision Advantage (TM-DA) using model-based systems engineering to bridge the gap between operational concepts and software design. The M-DASH event is tentatively scheduled for 25 January 2027 - 4 February 2027 in Las Vegas, Nevada. A virtual Ask Me Anything session is scheduled for 15 October 2026 at 1200-1300 EST (Details in paragraph 2.2 of the Call). | Solicitation | 541715 | No Set-Aside | 10/16/2026 | 10/21/2026 | Las Vegas, NV | |
Sources Sought notice for Tactical Manuals production. Please see Attachments for draft PWS and Sources Sought response requirements. | Market Research | - | Total Small Business Set-Aside | 10/14/2026 | 10/29/2026 | - | |
*08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document. The Joint All Domain Persistent Adaptive Collaborative Technologies (JADPACT) Project seeks to develop Human-Machine Teaming (HMT) concepts that leverage AI/Automation capabilities to support Battle Managers. C2 Decision Advantage events provide support for the ABMS Transformational Model decision functions and an opportunity to learn about and explore many different AI/automation approaches for Battle Management. Furthermore, the events and R&D aim to ensure warfighter involvement in the development of AI/autonomy and further identify areas where AI augmentation would support Battle Managers. The goal is to include industry to ensure work being done to develop and adapt the latest, cutting-edge AI/automation approaches can be leveraged and adapted to the needs of Battle Managers. This will be accomplished by seeking unique and innovative solutions to accomplish the defined technical requirements. The Combined Joint All-Domain Command and Control (CJADC2) Campaign Plan 2030 defines decision advantage as the ability to consistently make better, timelier decisions than the adversary. Current DAF command and control (C2) systems and processes are optimized for low intensity conflict and do not address decision advantage over the pacing challenge. Deriving effective C2 capability development toward decision advantage requires a clear understanding of what C2 decisions are. The DAF Advanced Battle Management System (ABMS) Cross Functional Team (CFT) provides a quantitative model for the Joint Warfighting Function of C2 as the Command, Plan, and Battle Management decision domains, supported by and integrated with Battle Analysis (military intelligence and surveillance). Each of these decision domains are decomposed in the Transformational Model for Decision Advantage (TM-DA) using model-based systems engineering to bridge the gap between operational concepts and software design. The M-DASH event is tentatively scheduled for 25 January 2027 - 4 February 2027 in Las Vegas, Nevada. A virtual Ask Me Anything session is scheduled for 15 October 2026 at 1200-1300 EST (Details in paragraph 2.2 of the Call). | Solicitation | 541715 | No Set-Aside | 10/08/2026 | 10/21/2026 | Las Vegas, NV | |
*08 October 2026 - Amendment 3 adds the most up to date Q&A regarding the Call & updates Attachment 2 CDRL and deletes the initial one that was out of date. *08 October 2026 - Amendments 1 & 2 updates Attachment 5 and Closed Call document. The Joint All Domain Persistent Adaptive Collaborative Technologies (JADPACT) Project seeks to develop Human-Machine Teaming (HMT) concepts that leverage AI/Automation capabilities to support Battle Managers. C2 Decision Advantage events provide support for the ABMS Transformational Model decision functions and an opportunity to learn about and explore many different AI/automation approaches for Battle Management. Furthermore, the events and R&D aim to ensure warfighter involvement in the development of AI/autonomy and further identify areas where AI augmentation would support Battle Managers. The goal is to include industry to ensure work being done to develop and adapt the latest, cutting-edge AI/automation approaches can be leveraged and adapted to the needs of Battle Managers. This will be accomplished by seeking unique and innovative solutions to accomplish the defined technical requirements. The Combined Joint All-Domain Command and Control (CJADC2) Campaign Plan 2030 defines decision advantage as the ability to consistently make better, timelier decisions than the adversary. Current DAF command and control (C2) systems and processes are optimized for low intensity conflict and do not address decision advantage over the pacing challenge. Deriving effective C2 capability development toward decision advantage requires a clear understanding of what C2 decisions are. The DAF Advanced Battle Management System (ABMS) Cross Functional Team (CFT) provides a quantitative model for the Joint Warfighting Function of C2 as the Command, Plan, and Battle Management decision domains, supported by and integrated with Battle Analysis (military intelligence and surveillance). Each of these decision domains are decomposed in the Transformational Model for Decision Advantage (TM-DA) using model-based systems engineering to bridge the gap between operational concepts and software design. The M-DASH event is tentatively scheduled for 25 January 2027 - 4 February 2027 in Las Vegas, Nevada. A virtual Ask Me Anything session is scheduled for 15 October 2026 at 1200-1300 EST (Details in paragraph 2.2 of the Call). | Solicitation | 541715 | No Set-Aside | 10/08/2026 | 10/21/2026 | Las Vegas, NV |
Additional Details
Solicitation Number
A060291
Archive Date
May 2, 2026
Office Address
WRIGHT PATTERSON AFB, OH, 45433-7200