Edge-AI maritime sensing hardware and ocean awareness data network
Quartermaster builds vessel-mounted sensing hardware and a geospatial data platform for maritime awareness. Its stack spans embedded edge AI (NVIDIA Jetson, CUDA, ROS 2, Yocto, Kalman filtering), in-house PCB design (OrCAD, Allegro) and a map-heavy web layer (PostGIS, Mapbox, Deck.gl). Projects such as a classified network build and SmartMast deployment in Africa, plus a Head of Launch search, point to a shift from R&D toward fielded fleets and government work.
Notable leadership hires: Head of Launch
Quartermaster, also known as Quartermaster AI, is a privately held company founded in 2023 and headquartered in Arlington, Virginia, with 51–200 employees. It is building a maritime awareness network that pairs ship-mounted sensor units with software for visualizing and analyzing ocean activity. Its focus areas include maritime, insurance, energy, oceanography and government. The company hires in the United States and the United Kingdom across engineering, operations, product and logistics.
Quartermaster uses NVIDIA Jetson, CUDA, ROS 2, Yocto, C++ and Python at the edge, plus React, TypeScript, Spring Boot, PostGIS, Mapbox and Deck.gl on AWS with Kubernetes, Docker and Jenkins.
Quartermaster's current projects include SmartMast deployment in Africa, a classified network build, market entry playbooks, an import logistics framework and field validation testing aboard vessels.
Quartermaster is headquartered in Arlington, Virginia, and hires in the United States and the United Kingdom.
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Quartermaster's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.