AI-powered point defense against drones and uncrewed threats
Regulus builds autonomous counter-drone systems for close-range air defense, operating in the final hundreds of meters where strategic long-range interceptors lose effectiveness. The tech stack reveals a hardware-forward engineering org: FPGA, Altium/OrCAD, MATLAB, CUDA, and custom PCB design sit alongside Python and Linux for autonomy logic. Active projects span communication architectures, field testing of integrated systems, and hardware simulation—reflecting the complexity of binding autonomous software to physical interceptors and mesh networks in real operational conditions.
Regulus develops point-defense systems that detect and neutralize drones through a combination of electronic warfare (soft-kill) and kinetic interception (hard-kill), coordinated via decentralized autonomous mesh networks. The company targets military and defense forces needing resilient close-in protection layers around strategic assets. At 11–50 employees with engineering-heavy hiring (21 roles open, mostly mid-to-senior), Regulus is scaled for product development and field validation rather than broad commercial deployment. Based in Haifa, Israel, the company was founded in 2016 and operates as a privately held firm.
Regulus uses Python, C++, Linux, FPGA, MATLAB, CUDA for autonomy and signal processing. Hardware design relies on Altium Designer, OrCAD, SolidWorks, and custom PCB tools. CI/CD runs on Jenkins; project management spans Jira, Monday.com, and Polarion for requirements.
Active projects include next-generation communication architectures for autonomous platforms, field testing of integrated counter-UAS systems, FPV drone platform hardware, custom rigid and rigid-flex PCB design, and simulation frameworks in MATLAB/Python for real-world operational scenarios.
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