AI-driven logistics platform purpose-built for defense supply chains
Gallatin AI is an early-stage defense logistics startup building a Palantir-native platform to optimize supply chain visibility across tactical, operational, and strategic layers. The tech stack is heavily data-engineering focused—Palantir Foundry + AIP, Python, PostgreSQL, MongoDB, DynamoDB, Kubernetes—with active work on data pipelines, MLOps, and real-time inference. The engineering-dominated headcount (35 of 37 employees) and project backlog around data ingestion, API performance, and offline-capable resupply flows suggest they're building core platform infrastructure ahead of broader go-to-market motion.
Gallatin AI is a defense logistics platform company founded in 2024 and based in El Segundo, California. The product creates actionable insights across first-mile, middle-mile, and last-mile logistics operations, integrating data ingestion, transformation, and AI-driven decision-making for defense customers managing complex supply chains. The team is lean (11–50 employees, 35 engineers) and currently focused on platform architecture: data model design, API layer optimization, MLOps pipeline maturity, and offline capability for disconnected field operations. Hiring velocity is minimal, suggesting they are in feature-development mode rather than scaling.
Palantir Foundry and AIP, Python, TypeScript, PostgreSQL, MongoDB, DynamoDB, Kubernetes, AWS/GCP/Azure, and PyTorch. The stack prioritizes data pipeline and inference infrastructure over frontend tooling.
Core projects include data pipeline design for a navigator platform, MLOps and real-time inference services, API layer optimization, Palantir Foundry integrations, and offline PWA mode for field operations in disconnected environments.
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