Autonomous navigation software for off-highway vehicles
Polymath Robotics builds autonomous navigation stacks for off-highway vehicles—a domain where connectivity and edge computing are harder problems than urban autonomy. The engineering-forward org (10 engineers, 6 ops, 2 seniors) is scaled around field deployment and infrastructure: active projects center on customer logistics, network monitoring dashboards, rosbag storage, and fleet-level scaling, while pain points cluster around remote connectivity, data integrity, and cross-functional coordination in complex deployments. The tech stack (ROS, ROS 2, Python, Go, Kubernetes, Prometheus, PostgreSQL, Loki) reflects a systems-heavy focus on observability and edge orchestration rather than pure ML.
Polymath Robotics develops autonomous navigation software for off-highway vehicles—mining equipment, agricultural machinery, and similar industrial platforms where GPS-denied and low-connectivity environments are the norm. The company operates as a small, engineering-centric team founded in 2021, headquartered in San Francisco. Their platform abstracts the complexity of adding autonomous capabilities to existing vehicle types, handling sensor fusion, real-time control, and cloud-edge synchronization. They sell to equipment operators and OEMs managing fleets in remote field conditions, where traditional automotive autonomy approaches don't transfer.
Core stack: ROS, ROS 2, Python, Go, C++, PostgreSQL, Kubernetes, Prometheus, Grafana, Loki. Infrastructure: Linux, Buildkite, GitHub Actions, Podman. Networking: iptables, nftables, netplan, Peplink. Operations: Asana, Notion, HubSpot.
Field testing logistics, customer deployment execution, network monitoring dashboards, rosbag storage and querying, scalable data infrastructure, automated backup and recovery, and fleet-level infrastructure scaling for robots in remote environments.
Other companies in the same industry, closest in size