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Quartermaster Tech Stack
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.
Tech Stack 43 technologies
Core StackPython NetSuite Brex AWS MongoDB PostgreSQL AWS RDS TypeScript Kafka Apache Spark Apache Flink Docker Kubernetes Terraform CloudFormation PyTorch TensorFlow Figma QuickBooks Online Azure IAM VPC Kinesis Bicep Ubuntu C/C++ FPGA Orcad Allegro Notion+13 more
What Quartermaster Is Building
◆Challenges
- Supply chain risks
- Lack of centralized brand asset library
- Labeling inconsistent data
- Interference noise management
- Rejection library development
- Class-imbalanced maritime environments
- Edge inference constraints
- Scaling ai in regulated environments
- Compliance with us government contracting
- Logistics issues
▲Active Projects
- Develop procurement and inventory dashboards
- Hts reengineering initiative
- Support production ramp activities
- Signal characterization and data labeling
- Labeled dataset creation for ml
- Rejection library development
- Real-time maritime intelligence platform
- Dataset curation pipeline
- Edge inference optimization
- Building legal department from scratch
Hiring Activity
20 roles · 20 in 30d
Department
Seniority
Company intelligence
