

FLEETWERX utilizes itsecosystem and market research to attract best-in-class submissions to solvenational security problems. Subsequently, government subject matter expertsreview and select participants with the highest value to collaborate with for thegiven opportunity.
Note:All Assessment Events (AE) conducted through FLEETWERX have the potential to result in monetary awards and/or agreements.
The Naval Postgraduate School (NPS) Consortium for Advanced Manufacturing Research and Education (CAMRE), Naval Surface Force, U.S. Pacific Fleet (SURFPAC) and the broader Joint Force must maintain fleet readiness, material redundancy, and operational self-sufficiency in highly contested environments. As the Department of Defense scales the use of advanced manufacturing (including metallic additive manufacturing, 3D scanning, and reverse engineering) at the point of need, a significant gap exists in deploying rapidly scalable, high-fidelity workforce development. The challenge is to deliver an integrated ecosystem utilizing technologies such as Augmented, Virtual, and Extended Reality (AR/VR/XR) training systems, Artificial Intelligence (AI) for personalized skills development, and secure digital reach-back infrastructure, or other novel solutions. This solution must immediately address SURFPAC’s distributed maintenance priorities, empowering sailors to fabricate and repair parts underway, while maintaining a flexible, open architecture that is broadly generalizable to soldiers, marines, and other military units in the future.
Key System Requirements
Proposed solutions must address the following Top Level Requirements (TLRs). The system must be a secure, scalable,and adaptive digital learning environment optimized for contested logistics.
Scope/Composition: A comprehensive training and operational support suite comprising of pedagogical enabling technologies such as hardware-agnostic XR software, an AI-driven personalized learning engine, peer-to-peer collaborative modules, secure digital infrastructure platform for reach-back engineering support, or a combination thereof. This system should enable the warfighter to rapidly and continuously improve their skills on advanced manufacturing equipment such as metal additive manufacturing and computer numerical control subtractive manufacturing.
Extended Reality (XR) & Simulation Environment:
· Ensure hardware-agnostic compatibility with commercial off-the-shelf (COTS) AR/VR/XR headsets and mobiledevices.
· Support offline and low-bandwidth functionality for disconnected, disrupted, intermittent, and limited (DDIL) operational environments afloat or at forward operating bases.
AI-Driven Personalized Learning & Analytics:
· Adaptive Proficiency Tracking: Achieve a minimum of real-time curriculum adjustment based on user error rates(threshold) with an objective of predictive readiness scoring that anticipatesoperational capability gaps before deployment (objective).
· Performance Data Integration: Automatically capture and export learner performance metrics using standardizedformats (e.g., xAPI or SCORM) to interface with existing military learningmanagement systems.
Secure Digital Reach-Back & Technical Infrastructure:
· Comply with DoD Cloud Computing Security Requirements Guide (SRG) Impact Level 4 (IL4) standards, with amigration pathway to IL5/IL6 for handling controlled unclassified information(CUI) and technical data packages (TDPs).
· Facilitate real-time and asynchronous peer-to-peer collaborative learning and direct communication links between forward-deployed operators and stateside engineering experts (e.g., Naval Surface Warfare Centers or CAMRE).
Curriculum Generalizability &Advanced Manufacturing Integration:
· Ingest, render, and train against standard computer-aided design (CAD) and additive manufacturing file formats(e.g., STL, 3MF, STEP) natively within the digital environment.
· Provide modular, customizable training pathways that can be dynamically tailored from maritime-specific shipboard maintenance to expeditionary combat logistics without requiring underlying software redevelopment.
Examples
The lists below are examples of potential mission sets and attributes of interest. We encourage creative solutions that address our challenge.
Example Mission Sets / Application Areas / Use Cases:
· Underway additive manufacturing training simulating the production of critical shipboard replacement parts.
· Remote expert collaboration connecting forward-deployed Marines with civilian engineers for real-time reverse engineering and 3D scanning of legacy components.
· Virtual "sandbox" environments for joint-service personnel to collaboratively troubleshoot and qualify new 3D printed materials before physical fabrication.
· Pre-deployment, AI-guided certification courses on newly fielded metallic additive manufacturing and non-destructive testing (NDT) equipment.
Solution Attributes of Interest:
· Open architecture and API-first design to prevent vendor lock-in.
· User interfaces optimized for rapid adoption by junior personnel with minimal prior advanced manufacturing experience.
· Incorporation of human-centered design principles that reduce cognitive load and simulator sickness in VR environments, or other negative impacts.
· Capability to host and protect proprietary Technical Data Packages (TDPs) and securely stream manufacturing instructions to the point of need.
5AUG2026 to 27AUG2026 – White Paper Submissions Open: Interested respondents who could potentially provide expertise/solutions that meet the needs of the Government Stakeholders are to submit one (1) White Paper Submission for Government only review. To submit the White Paper Submission, please follow the submission instructions bottom of this event release.
19AUG2026, 0900 Pacific Time – Objective Strategic Session (OSS): Potential performers have the opportunity to ask the Government Stakeholders about the desired project objectives. Government Stakeholders will provide further details in conversation.
27AUG2026, 1700 Pacific Time
27AUG2026 – 03SEP2026: Government Downselect
03SEP2026 - 10SEP2026: B2B signed
10SEP2026 - 12JAN2027: Rapid prototyping
12JAN2027 - 19JAN2027: Final Report
https://fleetwerx.submittable.com/submit/359150/frontline-additive-subtractive-training-fast-assessment-event
https://events.teams.microsoft.com/event/8f8cc69f-c553-46c1-9a7e-adb063e01c59@0c98e6c0-6700-42a5-9660-7edab7a6a531
https://fleetwerx.submittable.com/submit/359150/frontline-additive-subtractive-training-fast-assessment-event

