Tiberius Aerospace has received an “Awardable” assessment for its GRAIL platform within the Chief Digital and Artificial Intelligence Office Tradewinds Solutions Marketplace. This status allows US Department of Defense customers to move directly toward contract awards without running a new competition.
GRAIL, short for Generative Real-Time Artificial Intelligence for Lethality, is positioned as an acquisition and evaluation system rather than a standalone weapon. The platform applies AI models to analyze weapon system performance, cost, and delivery timelines, producing comparative lethality and cost metrics. The intent is to replace long procurement cycles.
“Having served with 1st Infantry Division in Bagdad, commanded 121 Expeditionary Air Wing and been intimately involved in the rapid development of urgent operational capability in the Pentagon and as Commandant Air and Space Warfare Centre it is clear that to maintain a battle winning edge, defense acquisition must undergo a wholesale transformation to deliver new innovative capability to the warfighter quicker, and GRAIL has been built to accelerate that shift,” said Blythe Crawford CBE, Director GRAIL.
The assessment was conducted through the Tradewinds Solutions Marketplace, a government-run repository of post-competition solutions that have already cleared technical, security, and contracting reviews. Tradewinds sits inside CDAO and is designed to speed adoption of AI, data, and analytics tools across the Department of Defense. Solutions listed as “awardable” can be procured using existing authorities aligned with recent DoD software acquisition guidance and executive direction on defense innovation.
The company says more than 100 defense contractors and suppliers across multiple countries are already participating in what it calls the GRAIL Alliance.
The move reflects continued pressure from DoD leadership to turn acquisition away from document-heavy, sequential processes toward continuous evaluation, faster contracting, and software-driven decision making.
