Multi-domain autonomous systems software for military and commercial operations
HavocAI builds software-defined autonomy platforms for coordinated unmanned systems across maritime, air, and ground domains. The tech stack—C++, Rust, PyTorch, TensorFlow, Vision Transformer, NVIDIA Triton, ROS 2—reflects deep investment in real-time perception and embedded inference, while active projects span sensor fusion, payload integration, and deployment monitoring. Engineering dominates the hiring mix (13 of 22 open roles, with 3 director-level positions), paired with finance and ops scaling efforts, indicating rapid infrastructure build-out alongside product development in a capital-intensive, regulated domain.
HavocAI, founded in 2024 and based in Providence, Rhode Island, develops autonomy software for military-grade and commercial unmanned systems. The platform enables multi-asset coordination across sea, air, and land domains, with emphasis on real-time decision-making and resilience in contested or communication-denied environments. Current deployment focus includes uncrewed surface and ground vehicles; the company is actively building out financial controls, content production, and operational playbooks as it scales from prototype to field operations. Hiring is accelerating across engineering, finance, and executive functions in the US and UK.
Core stack includes C++, Python, and Rust for autonomy and embedded systems, with PyTorch and TensorFlow for perception models and NVIDIA Triton for inference deployment on edge hardware.
Active projects include real-time perception pipelines for autonomous surface vessels, sensor fusion for multi-modal data, embedded inference deployment, payload integration for uncrewed systems, and deployment monitoring and playbook development.
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HavocAI'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.