Maritime intelligence platform built on real-time sensor data and ML
Quartermaster AI operates a real-time maritime intelligence platform combining streaming data infrastructure (Kafka, Kinesis, Spark, Flink) with ML training pipelines (PyTorch, TensorFlow) and edge inference optimization. The company is scaling an engineering-led org (70% of 20 active roles) with senior-heavy hiring, while simultaneously building legal and compliance functions from scratch — revealing a US government contracting focus that drives their pain points around regulated ML deployment and labeling consistency at scale.
Quartermaster AI builds a maritime awareness network targeting energy, insurance, oceanography, and government sectors. Founded in 2023 and based in Arlington, Virginia, the company operates across three technical layers: data acquisition and streaming (Kafka, Kinesis), ML model training and dataset curation (PyTorch, TensorFlow), and edge inference deployment on constrained hardware (FPGA optimization). Current operational priorities span procurement/inventory dashboards, production ramp support, and dataset labeling pipelines — with active work on rejection libraries and handling class-imbalanced maritime environments. Infrastructure runs on AWS and Azure with MongoDB and PostgreSQL backing stateful services.
Python, TypeScript, PyTorch, TensorFlow, Kafka, Kinesis, Apache Spark/Flink, AWS, Azure, MongoDB, PostgreSQL, Docker, Kubernetes, Terraform. Also uses FPGA, Orcad, Allegro for hardware-accelerated inference.
Arlington, Virginia. Founded in 2023 and currently hiring across US locations only.
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.