OUSD (R&E) CRITICAL TECHNOLOGY AREA(S): Sustainment & Logistics The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with section 3.5 of the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. OBJECTIVE: The goal of this effort is to develop a scalable, Artificial Intelligence (AI)-enabled decision-support framework that enables faster, more informed prioritization of emerging technologies across the space sustainment and logistics enterprise. Project AXIS 54 will equip cross-functional teams with structured tools to assess innovation alignment, technical maturity, and operational relevance reducing transition friction and accelerating mission-impactful capabilities. The Phase I objective is to design and validate core framework components, AI integration pathways, and representative use cases to guide prototype development in Phase II. DESCRIPTION: Modern defense innovation often excels at the edge but stalls at the center where promising technologies struggle to transition due to fragmented visibility, misaligned priorities, and lack of actionable evaluation tools. From concept to prototype, many initiatives fail to bridge the gap between innovation and operational impact. Project AXIS 54 addresses this challenge by delivering a practical, AI-enabled framework to assess, prioritize, and align emerging technologies with mission objectives. Designed for use by capability developers, acquisition teams, and decision-makers across the space logistics and sustainment enterprise, AXIS 54 will support: - Scoring and visualization of initiatives based on operational relevance, technical maturity, transition readiness, and system feasibility. - Warfighter-centric planning using intuitive visual models that promote alignment across stakeholders. - Feedback loops that track early-stage innovations and guide them toward successful integration. AI will serve as a core enabler, automating pattern recognition across portfolios, flagging integration risks, and surfacing dependencies. Machine learning models will continuously refine prioritization logic using real-world datasets, improving insight fidelity and accelerating informed decision-making. Aligned with the Secretary of Defense's 17 priority areas including readiness, innovation speed, and ecosystem resilience AXIS 54 enables structured yet flexible evaluation of technology portfolios. It empowers leaders to elevate the most mission-relevant innovations, reinforcing readiness and sustainment in support of high-priority U.S. Space Force (USSF) operations. Instead of delivering a rigid platform, AXIS 54 will offer a modular toolkit scalable for enterprise planning and adaptable for agile experimentation teams. It ensures that initiatives with the greatest potential for lethality, agility, and sustainability are identified early, matured strategically, and transitioned efficiently. PHASE I: The Phase I objective is to establish the foundational elements of a modular decision-support toolkit that enables cross-functional teams to assess, align, and communicate the operational value of emerging technologies. Phase I focuses on validating a scalable, AI-enabled framework that helps prioritize innovation efforts in alignment with Space Systems Command (SSC), SpaceWERX, and broader USSF mission objectives. The scope and key tasks for this Phase I effort include: 1. Framework Blueprint Development Design a practical scoring and assessment model incorporating real-world evaluation criteria such as value-to-mission, maturity level, transition feasibility, and sustainment impact used by SSC/S4 and innovation stakeholders. 2. Use Case Mapping Apply the framework to representative scenarios drawn from current innovation pipelines (e.g., autonomous logistics, orbital intelligence, surveillance, and reconnaissance (ISR), digital sustainment), validating its applicability across diverse technology verticals. 3. Interface Prototypes Create initial interface mockups or functional wireframes that demonstrate how program managers, acquisition officers, and mission owners would interact with the toolkit for planning and decision-making. 4. AI/machine learning (ML) System Architecture Define AI design elements, including recommended data structures, training datasets, pattern recognition methods, and inference logic to be developed in Phase II. 5. Transition Touchpoints Identification Identify ideal pilot environments and stakeholder communities for Phase II implementation, including where and how the system will be integrated into operational workflows. Deliverables may include: - Architecture and scoring model documentation. - Scenario-based walkthroughs illustrating framework application. - Mockups or interactive wireframes for user interface concepts. - Initial AI/ML system design overview and recommended datasets. - Phase II pilot strategy and stakeholder engagement plan. PHASE II: The objective for Phase II is to develop and deliver a functional, AI-enabled prototype of the AXIS 54 framework that supports enterprise-level innovation planning, technology prioritization, and transition decision-making. The system will be co-developed with a government partner such as SSC/S4, SpaceWERX, or a relevant program office to ensure alignment with mission needs and real-world operational workflows. Consider the following during the Phase II approach: - Collaborative Development: Work closely with government stakeholders to tailor the toolkit's capabilities to actual use cases, workflows, and decision environments. This ensures the tool enhances not disrupts existing processes for capability planning and tech transition. - AI/ML Integration: Deploy and train machine learning models using curated, relevant datasets to support prioritization scoring, dependency mapping, and readiness forecasting. Emphasis will be placed on explainability, transparency, and user trust. - Operational Use Cases: Apply the prototype to live or recent innovation efforts (e.g., Small Business Innovation Research/Small Business Technology Transfer (SBIR/STTR) portfolios, non-Program of Record (non-POR) pathfinders) to demonstrate its effectiveness in streamlining evaluations, surfacing transition risks, and identifying portfolio synergies. - User-Centered Design: Refine visual interfaces, dashboards, and interaction pathways based on feedback from capability developers, program managers (PMs), and mission owners to ensure usability and adoption. Deliverables may include: - Fully functional AXIS 54 prototype system. - Integrated AI/ML modules for initiative scoring, risk flagging, and value analysis. - Pilot demonstrations in one or more operational environments. - Stakeholder feedback report and performance evaluation. - Phase III transition plan with pathways for broader DoD and commercial adoption. PHASE III DUAL USE APPLICATIONS: For Phase III, military applications include: - Strengthens strategic technology insertion and long-term sustainment planning across SSC portfolios. - Institutionalizes repeatable transition pathways for SBIR/STTR efforts, Pathfinder projects, and other innovation pipelines. - Provides Program Executive Officers (PEOs) and acquisition leaders with visibility into technology value, maturity, and risk throughout the development lifecycle. - Enables structured evaluation and integration of non-POR capabilities that offer high operational value to the warfighter. - Leverages AI/ML to surface emerging opportunities, flag integration risks, and support real-time, enterprise-level trade-off analysis. Commercial applications may include: - Highly applicable to organizations managing complex research and development (R&D) pipelines, particularly those with dual-use technology portfolios. - Supports strategic planning and prioritization in commercial aerospace, spaceport logistics, advanced manufacturing, and defense-adjacent sectors. - Improves communication and alignment between technical, operational, and business leadership in innovation-centric enterprises. - Offers AI-driven portfolio analytics and insights to enhance innovation strategy, reduce investment risk, and accelerate time-to-market. For transition pathways, the government opportunities may involve the adoption through SSC, SpaceWERX, and/or other innovation-focused DoD entities. Private sector opportunities may involve commercial deployment through SaaS or enterprise software licensing for R&D strategy, innovation portfolio management, and investment planning. Ultimately, AXIS 54 bridges the gap between innovation and implementation equipping both military and commercial decision-makers with a robust, AI-enabled framework to make faster, more informed decisions about which technologies to advance and how best to deploy them. REFERENCES: 1. U.S. Space Force. (2023, March). Mission sustainment strategy. Office of the Deputy Chief of Space Operations for Operations, Cyber, and Nuclear (SF/S4O). https://www.dau.edu/sites/default/files/webform/documents/26816/2023_%20USSF%20Mission%20Sustainment%20Strategy%20efile_signatures.pdf. 2. United States Space Force. (2022, December). Space Doctrine Publication 4-0: Sustainment. Space Training and Readiness Command (STARCOM). https://www.starcom.spaceforce.mil/Portals/2/SDP%204-0%20Sustainment%20(Signed).pdf?ver=jFc_4BiAkDjJdc49LmESgg%3D%3D. KEYWORDS: Innovation Transition Planning - Technology Prioritization; AI-Driven Portfolio Management; Capability Development; Decision Support Tools; Mission Alignment; Strategic Technology Insertion; Operational Readiness; Innovation Pipeline; Tech Transition Acceleration; Digital Portfolio Analytics; AI-Augmented Decision-Making.
