Autonomous drone systems and AI for wildfire suppression and firefighting
Seneca builds autonomous aerial platforms and ML-driven software for wildfire response. The tech stack reveals a mature autonomous-systems operation: C++/Python for core logic, PX4/ArduPilot/ROS for drone control, TensorFlow/PyTorch/JAX for perception, and iOS native apps for field operations. Active hiring is weighted toward mid- and senior-level engineers (7 of 10 roles), indicating they're scaling beyond proof-of-concept into production deployment and test infrastructure.
Seneca is a resilience-technology company focused on autonomous systems for wildfire suppression and firefighting support. The product line spans hardware (autonomous aerial suppression drones), control systems, AI-driven perception, and mobile applications that give firefighters real-time visibility and autonomous response capabilities. Operations are based in Sausalito, CA, and the company is privately held with 51–200 employees. Core use cases address initial-attack operations and beneficial fire management across large-scale wildland environments in the US and allied nations.
Seneca uses PX4, ArduPilot, and ROS for flight control; C++/Python for core systems; TensorFlow, PyTorch, and JAX for ML perception; and OpenCV + sensor fusion (NVIDIA Jetson) for autonomous navigation.
Active projects include autonomous aerial suppression hardware, UAV control systems, ML-driven autonomous perception, multimodal sensor fusion, mobile applications for drone operation, flight planning UIs, and real-time telemetry monitoring for wildfire response operations.
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.