Posted: Oct. 25, 2024, 2:04 p.m. EDT
***UPDATE 25 October 2024: The Government is notifying Vendors of the following: The responses to vendor questions have been posted in the Attachments/Links section below. The response date for RFI submissions remains unchanged.***
This is a Request for Information (RFI), as defined in Federal Acquisition Regulation (FAR) 15.201(e).
The United States (U.S.) Army, Program Executive Office Intelligence, Electronic Warfare and Sensors (PEO IEW&S), Project Manager Intelligence & Analytics (PM IS&A), Project Linchpin Team in conjunction with Program Executive Office, Simulation Training and Instrumentation (PEO STRI) and Synthetic Training Environment Cross Functional Team (STE CFT) are conducting market research to help scope a future contract activity. US Army Contracting Command - Aberdeen Proving Ground (ACC-APG), Division C, is issuing this Request for Information (RFI) on it's behalf.
SUMMARY
To address Modeling & Simulation (M&S) capability needs, Project Linchpin, in partnership with PEO STRI and STE CFT, is requesting information on AI approaches and technologies to bolster the Army's M&S capabilities to improve collective training and readiness. Of particular interest are AI solutions for data collection, generation, model training, and security with models integrated and deployed in various form factors within the tactical environment. The goal is to identify industry capabilities for supporting enterprise model training and fostering collaboration to enhance the AI ecosystem in support of M&S applications. This RFI is an information-gathering effort to help Project Linchpin, PEO STRI, and STE CFT understand the AI landscape and its potential to strengthen M&S capabilities.
INTRODUCTION
Project Linchpin enables the Army to deliver trusted solutions for AI-enabled systems through secure Artificial Intelligence Operations and Artificial Intelligence Services (AIOPs+) while maximizing the Department of Defense (DoD) and Intelligence Community (IC) investments. Project Linchpin creates a collaborative yet competitive environment of Industry and Government partners to establish the AIOPs+ ecosystem and creates new opportunities for inclusion into the ecosystem through rapid agile acquisition and contracting approaches. The Project Linchpin Team is collaborating with PEO STRI and STE CFT to identify best of breed AI products, solutions, and services to support the implementation of safe, reliable, and ultimately trustworthy AI to enhance Army training and testing operations.
PEO STRI and the STE CFT, both located in Orlando, FL, are key organizations within the US Army, dedicated to modernizing training and simulation capabilities. PEO STRI is the U.S. army acquisition organization chartered to rapidly develop, field, and sustain testing, training and information operations material capabilities to enhance readiness. PEO STRI manages the lifecycle resources of over 260 programs with technology focus on cyber, instrumentation and simulations including spanning Live, Virtual, Constructive, and Gaming domains. The STE CFT, part of the Army Futures Command, focuses on creating a unified and immersive training environment by integrating live, virtual, and constructive training elements, aiming to provide a seamless and realistic training experience for soldiers, regardless of location or platform. Their collaboration is essential in driving innovation to advance the modeling & simulation modernization efforts by accelerating AI adoption to improve combat readiness.
DISCLAIMER
THIS IS NOT A NOTICE OF Request for Proposal (RFP) ISSUANCE. Responses to this request are voluntary and will not affect any contractor's ability to submit a proposal if, or when, an RFP is released for a future effort. The requested information is for planning purposes only and does NOT constitute a commitment, implied or otherwise, that a procurement action will be issued. It is issued to invite industry to share their thoughts with the Government on training AI models for Army Programs.
No entitlement to payment by the Government of direct or indirect costs or charges will arise because of the submission of information in response to this request.
Information received will not be considered confidential/proprietary unless marked accordingly. Company proprietary data will be reviewed by Government employees and authorized representatives only. The Government shall not be liable for or suffer any consequential damages for any improperly identified proprietary information. No award will be made because of this request. This request is for informational purposes only to promote exchanges of information with industry in accordance with Federal Acquisition Regulation (FAR) part 15.201. The Government will not pay for any information and/or materials received in response to this request for information and is in no way obligated by the information received.
INSTRUCTIONS
***Please see the attachment for full details on the introduction and background for this effort, the requested information for this notice, and the instructions for submitting responses.***
Responses are due by the date and time indicated in the "General Information" section of this posting.
QUESTIONS
Questions regarding this announcement shall be submitted in writing by e-mail to usarmy.apg.peo-iews.mbx.linchpin@army.mil; Subject Line: QUESTIONS: Project Linchpin M&S Capabilities to Support Army Initiatives RFI #6 . Verbal questions will NOT be accepted. Questions will be answered by posting answers to this https://sam.gov posting; accordingly, questions shall NOT contain proprietary or classified information. The Government does not guarantee that questions received after 21 October 2024 will be answered. Interested parties are invited to subscribe to the website to ensure they receive any important information updates connected with this RFI.
Posted: Oct. 7, 2024, 3:49 p.m. EDT
Background
The United States Army, through the Program Executive Office Intelligence, Electronic Warfare and Sensors (PEO IEW&S) and in collaboration with the Project Manager Intelligence & Analytics (PM IS&A), Project Linchpin Team, PEO Simulation Training and Instrumentation (PEO STRI), and the Synthetic Training Environment Cross Functional Team (STE CFT), is conducting market research to scope a future contract activity.
The goal is to enhance the Army's Modeling & Simulation (M&S) capabilities by integrating AI technologies that improve collective training and readiness. This initiative aims to identify industry capabilities that can support enterprise model training and foster collaboration within the AI ecosystem for M&S applications.
Work Details
The RFI seeks information on AI approaches and technologies that can bolster M&S capabilities, specifically focusing on:
1. AI solutions for data collection, generation, model training, and security;
2. Integration of models deployed in various tactical environments;
3. Enhancements to training effectiveness through automation of data collection, processing, and analysis;
4. Development of adaptive training scenarios that optimize resource allocation;
5. Improvements in predictive analysis to enhance decision-making processes;
6. Solutions that reduce complexity and overhead in current M&S systems while increasing mission readiness.
Place of Performance
The primary organizations involved are located in Orlando, FL.
