Open-weight, mission-specific models deployed locally offer greater performance, efficiency, and control for critical national security use cases <\/p>\n
PITTSBURGH, August 18, 2026–(BUSINESS WIRE<\/a>)–EdgeRunner AI<\/a>, the leader in military-specific, on-device artificial intelligence, and AI2C, the U.S. Army’s Artificial Intelligence Integration Center, today announced EdgeRunner-Camo, a new open-weight Large Language Model (LLM) from EdgeRunner AI developed with AI2C specifically for the U.S. Army. <\/p>\n Fine-tuned on Army-specific data, including from AI2C’s CamoGPT, the new EdgeRunner-Camo model is specifically tailored for Army users and designed for running locally in air-gapped environments without reliance upon third-party cloud-hosted proprietary models. <\/p>\n “We are excited to partner with AI2C to develop Army-specific LLMs for the warfighter,” said Tyler Saltsman, Co-Founder & CEO at EdgeRunner AI. “The Department of War and our national security partners require open-weight models fine-tuned on mission-specific data deployable in air-gapped environments away from the cloud. EdgeRunner is uniquely positioned to be the DoW’s key partner for building mission-specific models.” <\/p>\n This collaboration demonstrates how EdgeRunner AI partners with the Department of War (DoW) to train open-weight, mission-specific LLMs for national security use cases that can outperform frontier-level models while deploying locally for increased data security, privacy, and control. Furthermore, running models locally mitigates the need to worry about token usage and third-party API costs, delivering unlimited and unmetered intelligence to the warfighter at the tactical edge. <\/p>\n The EdgeRunner-Camo model was developed through EdgeRunner AI’s proprietary model development pipeline, utilizing Impact Level 5 (IL5) training environments when handling Controlled Unclassified Information (CUI) data. The model excels at general military tasks and Army-specific use cases, reducing error rates by up 37% on 6 new Army-specific benchmarks created as part of this partnership. Detailed results and methodology are available in a separate report from EdgeRunner AI and AI2C. <\/p>\n These models form the basis of an ongoing collaboration with AI2C to develop best-in-class LLMs for the Army and will be deployed into the EdgeRunner AI platform and other systems accessible to national security partners. <\/p>\n About EdgeRunner AI <\/p>\n EdgeRunner AI is redefining battlefield intelligence with the world’s best on-device AI platform purpose-built for modern warfare. Designed for Denied, Disrupted, Intermittent, and Limited (DDIL) environments, EdgeRunner AI delivers mission-critical AI directly to the tactical edge where connectivity is contested and decisions can’t wait. Powered by state-of-the-art LLMs, autonomous agents, and next-generation computer vision systems, EdgeRunner AI equips warfighters with real-time, AI-driven intelligence, enabling faster decisions, greater operational autonomy, and unmatched mission effectiveness in the world’s most demanding environments. Learn more at: https:\/\/www.edgerunnerai.com<\/a> <\/p>\n","protected":false},"excerpt":{"rendered":"Open-weight, mission-specific models deployed locally offer greater performance, efficiency, and control for critical national security use cases PITTSBURGH,…\n","protected":false},"author":2,"featured_media":143786,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,70797,70799,943,70800,70798],"class_list":["post-143785","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence","tag-edgerunner","tag-edgerunner-ai","tag-environments","tag-security-partners","tag-u-s-army"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/143785","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=143785"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/143785\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/143786"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=143785"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=143785"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=143785"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}