9 Mothers Tech Stack

AI-powered counter-UAS detection and tracking for defense applications

Defense and Space Manufacturing Austin, Texas 2–10 employees Founded 2024 Privately Held

9 Mothers builds counter-unmanned aircraft systems (C-UAS) using AI detection, tracking, and defensive capabilities. The tech stack reveals a hardware-forward, real-time embedded systems company: C++, Rust, Python paired with PyTorch/TensorFlow/YOLO for ML inference, running on NVIDIA Jetson edge hardware with Embedded Linux, plus acoustic sensing via custom DSP and beamforming. Active projects span low-latency drone detection pipelines, acoustic sensor array integration, and control systems for interceptor platforms. The hiring velocity (10 roles in 30 days, 14 engineering-focused) reflects execution against a narrow, high-stakes problem set: real-time detection under outdoor noise, sensor fusion, and strict latency constraints.

Tech Stack 20 technologies

Core StackC++ Rust Python PyTorch TensorFlow PTP Embedded Linux Jetson NVIDIA Jetson YOLO OpenCV C CAN bus RTOS Altium KiCad EtherCAT

AdoptingROS 2

What 9 Mothers Is Building

◆Challenges

Strict swap constraints
Neutralizing autonomous drone threats
Developing robust real-time acoustic capture stack
Ensuring synchronization and reliability of multichannel acquisition
Designing low-noise microphone arrays
Low-latency edge audio processing
Messy outdoor audio conditions
Real-time beamforming for drone detection
Real‑time detection of hostile drones
Reducing false alarms under outdoor noise

▲Active Projects

Real-time capture stack
Control system design for interceptor platforms
Acoustic sensing arrays integration
Dsp pipeline development
Acoustic platform for autonomous csuas
Turret drive system development
Beamforming implementation
Evaluation infrastructure
Low‑latency ml models for real‑time detection of hostile drones
Sensor fusion for multi‑modal data streams

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Engineering

14

Seniority

Senior

10

Lead

4

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About 9 Mothers

9 Mothers is a defense technology startup founded in 2024, based in Austin, Texas. The company develops cost-effective counter-UAS systems that detect, track, and neutralize autonomous drone threats using a combination of AI and acoustic sensing. The product integrates real-time audio capture and beamforming with machine learning models optimized for edge deployment on Jetson hardware. Current work centers on robust acoustic platforms, multi-modal sensor fusion, control system design for interceptor platforms, and evaluation infrastructure. The organization is engineering-heavy with 14 active roles, predominantly senior and lead engineers, all based in the United States.

HeadquartersAustin, Texas

Company Size2–10 employees

Founded2024

Hiring MarketsUnited States

Frequently Asked Questions

What technology does 9 Mothers use to detect drones?

9 Mothers uses a stack of C++, Rust, and Python with PyTorch, TensorFlow, and YOLO running on NVIDIA Jetson hardware. The detection system includes acoustic sensing arrays, real-time beamforming, DSP pipelines, and low-latency ML models optimized for edge inference.

What is 9 Mothers working on?

Current projects include real-time acoustic capture stacks, control system design for interceptor platforms, acoustic platform development for autonomous C-UAS, beamforming implementation, sensor fusion for multi-modal data streams, and low-latency ML models for detecting hostile drones.