"We loaded over 4 million vendors in platform, we’ve got over 16 million parts represented," Jon Garrity, CEO and co‑founder of Tagup, told reporters — a concrete claim at the center of a push to bring artificial intelligence into Marine Corps sustainment planning.
Tagup's Manifest platform and the new SBIR modification
Defense tech company Tagup announced a modification to a $2.1 million Small Business Innovation Research contract that extends its Manifest platform to certain theater sustainment cases in support of Marine Corps Forces, Pacific (MARFORPAC). The company describes Manifest as "an AI‑powered multidimensional logistics decision engine" and says it is already in use by a handful of Marine units at the tactical and operational levels.
MARFORPAC is testing a unified decision‑support tool for dispersed forces
A MARFORPAC spokesperson told Defense One that sustaining forces "spread across the vast Indo‑Pacific" creates intense logistics friction because Marine units are highly dispersed. To address that problem, the command "is testing how a unified logistics decision‑support tool might automate" what can otherwise take several days of work — ingesting disparate data streams and generating comparative courses of action that quantify impacts on readiness, cost, and operational risk "in near real‑time or a matter of hours."
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End the scrambleHow Manifest connects micro‑level maintenance data to theater‑level choices
Garrity described Manifest's approach as marrying the demand side — micro data such as "every single maintenance action that’s ever been taken" and every service request and inventory item — with supply‑side intelligence about the industrial base. That supply view, he said, includes vendor locations, sources of supply and lead times; the company reports it has loaded "over 4 million vendors" and "over 16 million parts" into the platform. The stated aim is to answer where and when to posture materiel and to link those posture choices back to measurable outputs and outcomes.
Documented results in Marine medical logistics and operational promises
Tagup said its application of Manifest in Marine medical logistics produced measurable reductions: a 25 percent reduction in purchasing costs and a 30 percent reduction in materiel handled, "with no compromise to readiness." Beyond cost and handling metrics, Garrity said Manifest can help Marines "better use the materiel they send forward," maintain higher readiness for supported end items, make more efficient use of space on a deployed ship, and "tie up less capital, less cash, in the materiel that’s not being used effectively."
The platform includes a conversational AI interface called Argus, which the company says allows users to pose questions and explore scenarios "in plain language," framing the tool as both an engine for automated analysis and an interactive planner for human decision‑makers.
What this means for technologists, procurement leaders, and Marines
- Technologists and security teams: will be watching how disparate data streams — maintenance logs, inventory, vendor databases and industrial‑base details — are integrated and queried at scale, and how the Argus conversational layer translates complex logistics tradeoffs into plain‑language scenarios.
- Procurement and acquisition leaders: have a concrete SBIR modification ($2.1 million) and early performance metrics (25 percent cost reduction, 30 percent reduction in materiel handled) to evaluate as the service considers broader adoption and oversight of AI‑enabled logistics tools.
- Marines and operational planners: stand to gain faster, consolidated situational awareness that could shrink days of manual aggregation to hours or near real‑time comparative options — with explicit operational goals including improved readiness, more efficient shipboard space use, and less capital tied up in unused materiel.
The record presented by Tagup and MARFORPAC shows an experimental, measurable step toward automating theater‑level sustainment analysis: a commercial platform populated with millions of vendor and parts records, a conversational AI interface for planners, and early results in a medical logistics context. MARFORPAC's testing and the SBIR contract modification make clear the next phase is operational validation at scale — to determine whether the platform can consistently turn micro‑level maintenance and demand signals into theater‑level courses of action that materially reduce cost and risk while sustaining readiness.
Read the original Defense One story: https://www.defenseone.com/technology/2026/08/can-ai-help-marines-simplify-sustainment-pacific/415709/
