Autonomous wildfire-fighting drones and AI software for firefighters
Seneca builds autonomous drones and AI software that help firefighters detect and attack wildfires. Its stack pairs flight autopilots (PX4, ArduPilot, Betaflight) and ROS/ROS 2 with ML frameworks (PyTorch, TensorFlow, JAX), TensorRT on NVIDIA Jetson, and Gazebo/MuJoCo simulation, which points to onboard edge inference for autonomous navigation. Engineering-led hiring focused on flight testing and launch readiness suggests a shift from prototype to fielded deployments.
Seneca is a privately held resilience technology company headquartered in Sausalito, California, with 51–200 employees. It develops autonomous aerial systems and AI-driven software to support wildland firefighting, covering both initial attack and beneficial fire use. Its products target firefighting operations in the United States and allied nations. The company also builds a native iOS application layer using Swift, SwiftUI, and MapKit, with ArcGIS for geospatial data and MQTT, gRPC, and WebSockets for real-time communications.
Seneca uses C++ and Python with PX4, ArduPilot, ROS 2, PyTorch, TensorFlow, JAX, TensorRT on NVIDIA Jetson, OpenCV, and Gazebo, plus Swift/SwiftUI, ArcGIS, MQTT, and gRPC.
Seneca is building UAV control systems, integrating ML for autonomous navigation, running a flight test program with telemetry analysis, and preparing customer launch playbooks.
Seneca is headquartered in Sausalito, California, and currently hires in the United States, mainly for engineering roles.
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Seneca'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.