{"id":4972,"date":"2025-07-23T13:06:39","date_gmt":"2025-07-23T05:06:39","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/deepsat-selects-redwires-ai-powered-digital-engineering-systems-for-precursor-mission\/"},"modified":"2025-07-23T13:06:39","modified_gmt":"2025-07-23T05:06:39","slug":"deepsat-selects-redwires-ai-powered-digital-engineering-systems-for-precursor-mission","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/deepsat-selects-redwires-ai-powered-digital-engineering-systems-for-precursor-mission\/","title":{"rendered":"DeepSat Selects Redwire\u2019s AI-Powered Digital Engineering Systems for Precursor Mission"},"content":{"rendered":"

\"DeepSat<\/p>\n

Redwire<\/strong>, a global leader in aerospace and defense technology solutions, announced that it has been awarded the first phase of a multi-phase contract by DeepSat<\/strong>, an Earth observation startup, to provide advanced modeling, simulation, and design services for a planned dual-use Very Low Earth Orbit (VLEO) satellite constellation. The contract represents DeepSat\u2019s first step towards deploying a VLEO constellation designed to serve customer missions with high revisit and in-orbit AI for advanced sensor fusion.<\/p>\n

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Also Explore: GNSS Constellations<\/h4>\n<\/div>\n

Under this initial contract phase, Redwire will leverage its Acorn 2.0 Agent-Based Modeling and Simulation (ABMS) software to support the architectural design and performance optimization of the DeepSat constellation. Acorn 2.0\u2019s high-fidelity, agent-based approach will allow DeepSat to rapidly evaluate system behavior, mission utility, and operational scenarios across a wide range of conditions, enabling an accelerated development to launch timeline. Acorn 2.0, along with the company\u2019s Digitally Engineered Mission Systems & Integration (DEMSI) platform and processes, are the backbone of today\u2019s most advanced space missions, supporting space system design, hardware and software integration, and testing.<\/p>\n

\u201cOperating in VLEO presents unique design challenges that demand advanced digital engineering to accurately model, analyze and optimize mission performance, risk profiles and multi-domain interactions capabilities that Redwire brings to bear in support of next-generation space missions,\u201d said <\/strong>Tom Campbell<\/strong>, President of Redwire Space Missions<\/strong>. \u201cRedwire is proud to support DeepSat in the development of their innovative constellation, which will deliver cutting-edge space technologies that enhance Earth intelligence and empower smarter decisions on the ground.\u201d<\/p>\n

DeepSat\u2019s advanced VLEO satellite constellation will combine high revisit rates with in-orbit AI and multi-domain intelligence, surveillance and reconnaissance capabilities. The platform enables resilient, real-time, AI-powered Earth intelligence for critical missions such as vessel detection, energy infrastructure monitoring and disaster assessment across civil, commercial, and defense.<\/p>\n

\u201cThis collaboration accelerates our ability to deliver a new layer of real-time Earth intelligence, built on proven digital engineering,\u201d<\/em> said <\/strong>Nerses Ohanyan<\/strong>, Co-Founder and CEO of DeepSat<\/strong>. \u201cRedwire\u2019s capabilities help reduce investor risk, speed time-to-market, and scale rapidly to meet urgent customer demands.\u201d<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Redwire, a global leader in aerospace and defense technology solutions, announced that it has been awarded the first phase of a multi-phase contract by DeepSat, an Earth observation startup, to provide advanced modeling, simulation, and design services for a planned dual-use Very Low Earth Orbit (VLEO) satellite constellation. The contract represents DeepSat\u2019s first step towards […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[44,26,38,20],"class_list":["post-4972","post","type-post","status-publish","format-standard","hentry","category-news","tag-gnss","tag-ground","tag-leo","tag-satellite"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/4972"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=4972"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/4972\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=4972"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=4972"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=4972"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}