Gallatin AI Opens Austin Office to Support Military Logistics

Mar 2, 2026
Gallatin AI has opened a new office in Austin, Texas, to position its engineering and delivery teams closer to U.S. Army commands. The move establishes the company's third location and supports its focus on AI-powered logistics planning tools.

Gallatin AI has opened a new office in Austin, Texas, announced in a press release. The defense logistics software company said the location will bring its engineering and delivery teams closer to Army formations and sustainment commands that inform its product development.

The Austin site is Gallatin's third office and its largest investment near military logistics operations. The company plans to hire across software, AI/ML, and delivery roles. Texas hosts several major Army installations, including Fort Hood, Joint Base San Antonio, and Fort Bliss, as well as the Army’s Transformation and Training Command headquartered in Austin.

Gallatin’s flagship platform, Navigator, provides decision support software for military logistics, generating optimized distribution plans in seconds rather than hours. The company, founded in 2024 and backed by 8VC and other investors, is headquartered in El Segundo, California, with additional offices in Washington, D.C., and now Austin.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Defense AI Brief, Industrial AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Defense AI Brief AI Brief AI Brief (X)
Free newsletter

Defense AI Brief

Your weekly intelligence briefing on the technology shaping modern warfare and national security.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.