Name | Type | Posted | Actions |
|---|---|---|---|
Synopsis of Award - W911QX26CA003.pdf | Jun 1, 2026 |
Broad Agency Announcement (BAA) Nautilus for Artificial Intelligence (AI) Research and Development (R&D)
Contact and place of performance
Laurice Bocao
Fairfax, VA 22031
USA
For Research and Development (R&D) services leveraging a Broad Agency Announcement (BAA) under the Topic of "Artificial Intelligence (AI) and Machine Learning (ML), Managing Massive Data Sets". The work intends to experimentally implement and robustly test innovative solutions to the Government's unique problem of needing robust scalable infrastructure to support the next generation Department of War (DoW) operations.
The Department of the Army, through the ACC-APG Adelphi contracting office, has issued an award notice for research and development services under the Nautilus Broad Agency Announcement (BAA). This effort focuses on the topic of Artificial Intelligence (AI) and Machine Learning (ML), specifically addressing the management of massive data sets. The project intends to experimentally implement and robustly test innovative solutions to meet the government’s requirement for scalable infrastructure capable of supporting next-generation Department of War operations.
Performance for this award is centered in Fairfax, Virginia, under solicitation number W911QX26CA003. The requirement is classified under NAICS 541715 for Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) and PSC AC35 for National Defense R&D Services; Defense-Related Activities; R&D Facilities & Maj Equip. There was no set-aside designated for this procurement.
The award notice was published on June 1, 2026, and is managed by point of contact Laurice Bocao. Documentation associated with this action includes a single PDF attachment titled Synopsis of Award - W911QX26CA003.pdf. This procurement identifies the necessity for robust infrastructure to handle complex AI and ML workloads within military operational contexts.
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