AI-Native Embedded Linux
for Drones, Robotics & Edge AI

NeuralOS v5.0.0 -- a proprietary embedded Linux distribution built on Linux 6.12 LTS + PREEMPT_RT with Buildroot 2025.08. 12 inference backends, full drone autopilot stack, quantum computing libraries, and a Qt5 desktop shell with 33 built-in applications.

Minimum RAM
Boot time
Worst-case latency
Inference backends
neuraos@edge ~ /opt/neuraos
$ neuraos --version
NeuralOS v5.0.0 (Linux 6.12 LTS, PREEMPT_RT)
Build: Buildroot 2025.08
NPIE: v2.0.0 (12 backends)
$ npie --backends
LiteRT        ready
ONNX Runtime   ready
NCNN          ready
OpenVINO      ready
ExecuTorch    ready
MediaPipe     ready
  ... +6 more backends
$ _
Min. memory
Latency
Boot time
Backends
Desktop apps
Custom packages

NeuralOS is composed of six tightly integrated layers -- from the PREEMPT_RT kernel through networking, security, robotics, and AI inference up to 33 desktop applications. 46 custom Buildroot packages, zero bloat.

  • Linux 6.12 LTS + PREEMPT_RT fully preemptible kernel
  • Buildroot 2025.08 with 46 custom packages
  • NPIE v2.0.0 unified inference layer
  • Qt5 QML desktop shell with 33 applications
Applications
Neural Studio, AI Agent Hub, Drone Command Center, Quantum Lab + 29 more
NPIE v2.0.0
12 inference backends -- LiteRT, ONNX, NCNN, OpenVINO, ExecuTorch, MediaPipe, Apache TVM ...
Robotics & Drone Stack
MAVLink 2.0, PX4 1.16.0, ArduPilot, MAVSDK, swarm engine, 16-state EKF, Remote ID
Networking
WiFi mesh (802.11s + BATMAN-adv), eBPF QoS, 4G/5G cellular, WireGuard VPN, delta+LZ4 telemetry
Security
Secure Boot (FIT), dm-verity, AES-256-GCM encryption, RAUC OTA with rollback, zero telemetry
Kernel
Linux 6.12 LTS + PREEMPT_RT -- fully preemptible, 1000 Hz tick, SCHED_DEADLINE

Neura Parse Inference Engine provides a unified API across 12 hardware-optimized backends. Deploy models trained in any framework. 5,325 inferences/sec, 4.55 GFLOPS.

Google's on-device ML runtime
Cross-platform inference
High-perf mobile neural network
Intel hardware optimization
PyTorch edge deployment
Google vision & ML pipelines
Compiler-based optimization
On-device large language models
On-device speech recognition
On-device image generation
Computer vision & image processing
Hybrid quantum-classical computing
Compute throughput
Inferences per second
Memory bandwidth

MAVLink 2.0, PX4 Autopilot 1.16.0, swarm coordination with Raft consensus, 16-state EKF sensor fusion, and ASTM F3411 Remote ID compliance -- all pre-integrated.

01

Full MAVLink 2.0 protocol with PX4 Autopilot 1.16.0, ArduPilot, and MAVSDK for autonomous flight control and mission planning.

  • PX4 Autopilot 1.16.0 integration
  • ArduPilot support
  • MAVSDK flight control library
  • Remote ID compliance (ASTM F3411)
02

Multi-drone coordination with formation flying, Raft leader election for fault tolerance, and distributed task allocation.

  • Formation flying engine
  • Raft leader election protocol
  • Distributed task allocation
  • Collision avoidance mesh
03

16-state Extended Kalman Filter fusing GPS, IMU, barometer, magnetometer, and optical flow for centimeter-accurate positioning.

  • 16-state EKF sensor fusion
  • GPS + IMU + barometer integration
  • Optical flow positioning
  • Camera pipeline with OpenCV

Purpose-built networking for autonomous fleets operating in disconnected and bandwidth-constrained environments.

WiFi mesh (802.11s + BATMAN-adv)
eBPF-based QoS traffic shaping
4G/5G cellular connectivity
WireGuard VPN tunnels
Delta + LZ4 telemetry compression
MAVLink telemetry routing

Verified boot chain, encrypted models, atomic OTA updates, and zero telemetry. Every layer locked down by default.

Verified boot chain using Flattened Image Tree with cryptographic signature validation at every stage from bootloader to userspace.

Block-level integrity verification for read-only partitions. Detects any tampering with the root filesystem at runtime.

AI models encrypted at rest and decrypted in secure memory. Protects proprietary inference models from extraction.

Built-in WireGuard for encrypted device-to-cloud and device-to-device communication with minimal overhead.

Atomic A/B over-the-air updates with automatic rollback on failure. Delta updates minimize bandwidth on constrained links.

No data collection, no phone-home, no analytics. Complete privacy by design -- your fleet, your data, your control.

From KVM virtual machines for development to Pixhawk flight controllers and NVIDIA Jetson for production deployment.

Run NeuralOS as a KVM virtual machine for development, CI/CD testing, and cloud-edge simulation.

Full QEMU emulation for ARM64 development without physical hardware. Cross-compile and test on any workstation.

Native support for Raspberry Pi 4 and 5 with hardware-accelerated video, GPIO access, and camera module integration.

Companion computer integration with Pixhawk 6X flight controller via MAVLink 2.0 for autonomous drone operations.

NVIDIA Jetson Orin Nano with CUDA acceleration for high-performance edge AI inference up to 40 TOPS.

A lightweight Qt5 QML desktop environment purpose-built for embedded AI workloads. Neural Studio for model development, Drone Command Center for fleet management, Quantum Lab for hybrid computing experiments, and 30 more.

  • QuEST -- Quantum Exact Simulation Toolkit -- full state-vector simulation
  • Qulacs -- High-performance quantum circuit simulator
  • PennyLane -- Differentiable quantum computing framework
  • Stim / QEC -- Quantum error correction simulation
  • CUDA Quantum -- NVIDIA hybrid quantum-classical programming
Neural Studio
AI Agent Hub
Drone Command Center
Quantum Lab
Model Manager
Swarm Controller
Sensor Dashboard
Flight Planner
Terminal
File Manager
System Monitor
Network Manager
WireGuard VPN
OTA Updater
Camera Viewer
Log Viewer
+ 17 more applications

Choose the profile that matches your deployment. Each includes only the packages required for its use case.

minimal

Base system with kernel, init, networking, and security. No AI or drone stack.

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Custom embedded appliances
drone

Minimal + MAVLink, PX4, swarm engine, sensor fusion, camera pipeline, Remote ID.

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Autonomous drone platforms
robot

Minimal + NPIE inference engine, OpenCV, llama.cpp, sensor fusion, navigation stack.

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Robotic and edge AI devices
full

Everything: NPIE, drone stack, quantum libs, Qt5 desktop shell with 33 applications.

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Development, testing, full-featured deployments
Quick Start
# Clone the repository
$ git clone https://github.com/neuraparse/neuraos.git
$ cd neuraos
# Build for your target platform & profile
$ make neuraos_rpi5_drone_defconfig
$ make -j$(nproc)
# Flash and boot in <5 seconds
$ dd if=output/images/sdcard.img of=/dev/sdX bs=4M

Clone the repo, pick your build profile, flash your board, and have a real-time AI-ready system running in minutes. Linux 6.12 LTS, 12 inference backends, 46 custom packages.

Latest release
Packages
License