AI-native embedded Linux for drones, robotics and edge AI.
NeuralOS packages Linux 6.12 LTS, PREEMPT_RT, secure OTA, model encryption, drone protocols, robotics workflows, and 12 inference backends into one deployable edge runtime.
FIG 01 · NeuralOS edge console
Secure boot, signed OTA, inference health, robotics graph, and autonomous device telemetry in one edge operations surface.
64 MB
Minimum RAM
<1 ms
Worst-case latency
<5 s
Boot time
12
Inference backends
33
Desktop apps
46
Custom packages
One edge runtime for drones, uncrewed systems, and robot fleets.
NeuralOS is most useful when the runtime is tied to a workflow: signed releases, local inference, telemetry health, OTA rollback, and evidence that NowFlow and operators can inspect.
Six-layer system stack, purpose-built.
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, emlearn, WasmEdge, NCNN, ExecuTorch, OpenVINO, llama.cpp, whisper.cpp, stable-diffusion.cpp, MLC LLM, QuEST
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
Embedded AI deployment with a production infrastructure mindset. NeuralOS packages real-time Linux, inference backends, robotics protocols, and OTA controls into a deployable edge runtime for autonomous systems.
NPIE v2.0.0 — 12 inference backends.
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.
01
LiteRT
Google's on-device ML runtime
02
ONNX Runtime
Cross-platform inference
03
emlearn
Tiny classical ML for embedded devices
04
WasmEdge
WebAssembly model runtime
05
NCNN
High-perf mobile neural network
06
ExecuTorch
PyTorch edge deployment
07
OpenVINO
Intel hardware optimization
08
llama.cpp
On-device large language models
09
whisper.cpp
On-device speech recognition
10
stable-diffusion.cpp
On-device image generation
11
MLC LLM
TVM-compiled LLM runtime
12
QuEST
Quantum circuit simulation
4.55 GFLOPS
Compute throughput
5,325/s
Inferences per second
28.37 GB/s
Memory bandwidth
Full autonomous flight & navigation stack.
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.
MAVLink 2.0 & PX4 1.16.0
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)
Swarm Intelligence
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
Sensor Fusion & Navigation
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.
Hardened from boot to runtime.
Verified boot chain, encrypted models, atomic OTA updates, and zero telemetry. Every layer locked down by default.
01
Secure Boot (FIT)
Verified boot chain using Flattened Image Tree with cryptographic signature validation at every stage from bootloader to userspace.
02
dm-verity
Block-level integrity verification for read-only partitions. Detects any tampering with the root filesystem at runtime.
03
AES-256-GCM Model Encryption
AI models encrypted at rest and decrypted in secure memory. Protects proprietary inference models from extraction.
04
WireGuard VPN
Built-in WireGuard for encrypted device-to-cloud and device-to-device communication with minimal overhead.
05
RAUC OTA with Rollback
Atomic A/B over-the-air updates with automatic rollback on failure. Delta updates minimize bandwidth on constrained links.
06
Zero Telemetry
No data collection, no phone-home, no analytics. Complete privacy by design -- your fleet, your data, your control.
5 supported platforms.
From KVM virtual machines for development to Pixhawk flight controllers and NVIDIA Jetson for production deployment.
x86_64 (KVM)
Run NeuralOS as a KVM virtual machine for development, CI/CD testing, and cloud-edge simulation.
ARM64 (QEMU)
Full QEMU emulation for ARM64 development without physical hardware. Cross-compile and test on any workstation.
Raspberry Pi 4/5
Native support for Raspberry Pi 4 and 5 with hardware-accelerated video, GPIO access, and camera module integration.
Pixhawk 6X
Companion computer integration with Pixhawk 6X flight controller via MAVLink 2.0 for autonomous drone operations.
Jetson Orin Nano
NVIDIA Jetson Orin Nano with CUDA acceleration for high-performance edge AI inference up to 40 TOPS.
Qt5 QML shell, 33 built-in apps.
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
Application highlights
Four profiles, one build system.
Choose the profile that matches your deployment. Each includes only the packages required for its use case.
Base system with kernel, init, networking, and security. No AI or drone stack.
Image size
~128 MB
Custom embedded appliances
Minimal + MAVLink, PX4, swarm engine, sensor fusion, camera pipeline, Remote ID.
Image size
~256 MB
Autonomous drone platforms
Minimal + NPIE inference engine, OpenCV, llama.cpp, sensor fusion, navigation stack.
Image size
~320 MB
Robotic and edge AI devices
Everything: NPIE, drone stack, quantum libs, Qt5 desktop shell with 33 applications.
Image size
~512 MB
Development, testing, full-featured deployments
Deploy AI at the edge with NeuralOS.
Pick a build profile, flash your board, and run a real-time AI-ready system with Linux 6.12 LTS, 12 inference backends, and signed operational controls.