AI 模型和平台
五角大楼后勤系统自动化
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2026年10月22日莱多斯·称表示将根据国防后勤局授予的新9500万美元五年合同，部署人工智能自动化以精简和加速五角大楼的资产管理系统。
在一家公告日期的弗吉尼亚州雷斯顿(Reston, Virginia)中，被称为企业物流管理系统或ELMS的称系统被50多个机构用来管理价值超过1400亿美元的超过8000万件政府财产。 ELMS帮助战争部管理和核算资产的整个生命周期，支持后勤企业保持战备人员装备和准备。
新合同延长了20年莱多斯对该系统的支持。 称公司预计，改善系统性能将直接有利于备战状态，并称该奖项推进了北星2030战略，为关键的后勤系统提供公司所谓的 " 备战防御技术 "。
合同结构和计划工作
该奖项总潜在价值为9500万美元，其结构为基年，之后为4个选项年，业绩延长至2031年8月。 该奖项也延长了支持关系：莱多斯支持ELMS及其前身国防财产问责系统超过21年。
根据这项奖项，Leidos 称将在整个系统采用AI驱动的自动化、云和现代软件开发做法，其既定目标是加速软件的交付、精简流程和支持安全和可靠的ELMS业务。
称 Jason McCarthy, Leidos是空降和使命解决方案高级副总裁。 他将新合同工作定性为公司在行动中的国防技术，运用现代工具帮助DLA加强他所称的国防物流的数字骨干。
AI 后勤伙伴关系
ELMS奖是继另一个莱多斯在2026年早些时候进入AI带动的军事后勤之后。 2026年7月9日，宣布公司与Rune Technologies建立了围绕AI启用的预测维持能力的伙伴关系，旨在帮助军事组织预测后勤需求，改善资源可用性，并在有争议的分布式行动环境中加强任务准备。
这种伙伴关系将Rune的AI辅助预测后勤和维持任务指挥软件与Leidos的AI辅助决定优势和行动路线生成能力结合起来。 配对的称公司让指挥官更清楚地了解在有争议的环境中的维持需要和更好的决策支持，在这些环境中，印度-太平洋区域的距离、时间、规模和海事条件构成特别的挑战。 他们认为这两套能力是相辅相成的，即使速度、距离和不确定性使准备状态处于危险之中，也是为了维持军事行动。
“在印度-太平洋广阔的距离上维持势力需要有能力了解后勤需求，才能影响任务的执行，”麦卡锡·称在7月的公告中表示。 该伙伴关系已在提供这种决策支助，使指挥官们在复杂和分散的作业地区，而不是从现在到现在，更加能见度更高，更加随时待命。
Rune联合创始人兼首席执行官David Tuttle 称技术本身并不能解决印太的后勤挑战；在他的描述中，普遍需要将数据连接到整个规划、决策和执行中，这样部队就可以在复杂的环境中快速维持行动。 He 称将Rune的预测后勤能力与Leidos的企业数据集成专门知识结合起来，目的是将这种方法交给指挥官。
Rune伙伴关系的Leidos 称反映了在ELMS公告中引用的同样北星2030战略，其重点是AI带动的决定优势、任务软件和战备状态，称公司打算让指挥官们看到维持要求在变成任务挑战之前就已经来临。 麦卡锡是这两个公告中引用的莱多斯执行官。
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AI Models & Platforms
Leidos to Deploy AI Automation Across Pentagon Logistics System
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Leidos said on October 22, 2026, that it will deploy artificial intelligence automation to streamline and accelerate the Pentagon’s asset management system under a new $95 million five-year contract awarded by the Defense Logistics Agency.
In an announcement datelined Reston, Virginia, the company said the system, known as the Enterprise Logistics Management System or ELMS, is used by more than 50 agencies to manage over 80 million items of government property valued at more than $140 billion. ELMS helps the Department of War manage and account for assets throughout their lifecycle, supporting the logistics enterprise that keeps warfighters equipped and ready.
The new contract extends two decades of Leidos support for the system. The company said it expects that improving the system’s performance will have direct benefits for military readiness, and it described the award as advancing its NorthStar 2030 strategy, delivering what the company called mission-ready defense technology for a critical logistics system.
Contract Structure and Planned Work
The award carries a total potential value of $95 million, structured as a base year followed by four option years, with performance extending through August 2031. The award also extends a longer support relationship: Leidos has supported ELMS and its predecessor, the Defense Property Accountability System, for more than 21 years.
Under the award, Leidos said it will apply AI-driven automation, cloud, and modern software development practices across the system, with the stated goals of accelerating software delivery, streamlining processes, and supporting secure and reliable ELMS operations.
“Logistics wins wars and accurate, reliable asset visibility is a cornerstone of military readiness,” said Jason McCarthy, Leidos senior vice president of Airborne & Mission Solutions. He characterized the new contract work as the company’s defense technology in action, applying modern tools to help DLA strengthen what he described as the digital backbone of defense logistics.
Earlier AI Logistics Partnership
The ELMS award follows another Leidos move into AI-enabled military logistics earlier in 2026. On July 9, 2026, the company announced a partnership with Rune Technologies built around AI-enabled predictive sustainment capabilities, intended to help military organizations anticipate logistics needs, improve resource availability, and strengthen mission readiness in contested and distributed operational environments.
That partnership combines Rune’s AI-enabled predictive logistics and sustainment mission command software with Leidos’ AI-enabled decision advantage and course-of-action generation capabilities. The companies said the pairing gives commanders a clearer picture of sustainment needs and better decision support in contested settings, where distance, time, scale, and maritime conditions in the Indo-Pacific region pose particular challenges. They described the two sets of capabilities as complementary, built to keep military operations sustained even when speed, distance, and uncertainty put readiness at risk.
“Sustaining forces across the vast distances of the Indo-Pacific requires the ability to understand logistics demand before it affects mission execution,” McCarthy said in the July announcement. He said the partnership is already delivering that kind of decision support, giving commanders better logistics visibility and increased readiness across complex and dispersed operating areas now rather than years from now.
Rune co-founder and chief executive David Tuttle said technology alone cannot solve the Indo-Pacific’s logistics challenges; in his description, prevailing there requires linking data across planning, decision-making, and execution so forces can sustain operations at speed in complex environments. He said combining Rune’s predictive logistics capabilities with Leidos’ enterprise data integration expertise is intended to put that approach in commanders’ hands.
Leidos said the Rune partnership reflects the same NorthStar 2030 strategy it cited in the ELMS announcement, with a focus on AI-enabled decision advantage, mission software, and operational readiness, an approach the company said is meant to let commanders see sustainment requirements coming before they turn into mission challenges. McCarthy was the quoted Leidos executive in both announcements.
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