Daniel Buchmueller

A resupply mission ran without a driver on the route. Gallatin's Navigator detected the need, built the load plan, and handed off to @KodiakRobotics autonomous trucks in under 90 seconds. Soldiers monitored from a safe distance. The planning layer exists. The execution layer exists. What remains is scaling it to the units that need it.

EXCLUSIVE: @GallatinAI secures DIU contract for critical contested logistics support, bringing AI-driven sustainment planning to US Army Europe and Africa. Contested logistics has seen large-scale investment across new-age autonomous resupply platforms, heavy-lift cargo drones, unmanned surface vessels, and ground vehicles, but none of it solves the underlying planning problem of logisticians still scraping together spreadsheets to make critical resupply decisions. Gallatin's Navigator software augments logisticians, enabling them to move at "machine speed," according to CEO Woody Glier, and builds on a trend the highest-level leaders in the U.S. Army have pushed: reducing the cognitive load of those in critical decision-making capacities. Navigator builds on a structural shift in every priority theater. Aerial and naval drone warfare has made large-scale stockpiles increasingly vulnerable unless hardened, concealed, or dispersed. Navigator plans at the speed that dispersal demands, keeping the force supplied on the move. The software forecasts what units will need, flags shortfalls before they become problems, and recommends the supply and movement plans to fix them. One critical point of need they are supporting is medical supply and casualty evacuation (CASEVAC) planning, an area of deep complexity. Medical supply means high perishability, temperature-controlled cold chains, biological timing, and wide swings in demand, with casualty operations arriving on no notice. Atoms Not Bits has heard from sources of blood moved in styrofoam coolers and field units short on sterile devices, and in most cases the failure began weeks earlier, when the shortfall went unseen. Glier says medical is what he gets asked about most. The goal, as he describes it, is predictive consumption wherever a force is deployed: what he calls "consumption level mapping," forecasting burn rates and lining up resupply against weather and transportation constraints, then recalculating the plan as they change. Glier came from Scale AI, where the lesson was that frontier AI runs on domain expertise. Scale fought the talent wars for the doctors, coders, and PhDs who trained the models. Gallatin is doing the same with recently retired Army logisticians and medical supply experts, hired to teach Navigator how the job actually gets done. The winners, Glier says, understand the tradeoff between breadth and depth. This DIU contract is critical for Gallatin AI as it enters theater-level logistics. In roughly a year, Navigator has operated across all three levels of warfare: tactical at combat training center rotations, operational with III Corps, and strategic with a theater army spanning two continents. "We are excited to apply that capability to the challenges of theater-level sustainment, where decisions span entire campaigns and the bar for agentic decision support is highest," said Glier.

Ten days from invite to live demo. That’s the speed produced by @USArmy's Operation Jailbreak. Today at Fort Carson, @SecArmy watched Gallatin Radio Agent turn a voice contact report into a drone icon on @Anduril Lattice and @PalantirTech Gaia. Live, through Navigator's open API.

More cool stuff from our friends at @GallatinAI

Exclusive: @GallatinAI team breaks down their agentic radio agent for critical battlefield communications, built in 24 hours at the @cerebral_valley National Security Hackathon (by Army xTech).

Met a young person who said “I am headed to El Segundo for the next week. Don’t know anyone there but will just hang out, call up random people in startups to chat with, and absorb the energy.” Quite honestly I haven’t heard that about any other place besides Silicon Valley.