COMPLETE EMBEDDED AI STACK

From Boot to Cloud — One Ecosystem

EmbeddedOS (EoS) provides a complete embedded AI systems stack: ForgeOS build system, AIL AI runtime, NIA neural interface, EIPC secure IPC, and E-Bootloader — from bare-metal boot to top-level IoT integration.

Explore Ecosystem Get Started
CAD Schematic KiCad • Altium • Eagle INPUT EE Interface GPIO • I2C • SPI • UART INPUT AI + Neural Link Optional Enhancement EoS Engine Parse → Generate → Compile → Build PROCESS Production-Ready OS Image Linux • FreeRTOS • Zephyr
7
Core Projects
3
Architectures (ARM, x86, RISC-V)
6
OS Stack Layers
100%
Open Source
Core Capabilities

Full-Stack Embedded Systems Platform

From bare-metal bootloaders to top-level IoT integration — everything you need to build, secure, and deploy embedded systems at scale

Custom Bootloader

Modular, staged boot platform (E-Bootloader) with Stage-0 HW init, Stage-1 boot manager, A/B slot support, CRC/signature verification, and recovery logic.

Bare to OS Firmware

Complete firmware pipeline from bare-metal hardware initialization through HAL, device drivers, kernel, and middleware to a fully functional embedded OS image.

Enhanced Security Layers

Secure IPC (EIPC) with capability-based authorization, audit logging, replay protection, frame-level integrity, and versioned protocol with CRC verification.

Edge Computing Support

AIL-Min lightweight agent runtime for edge/mobile with llama.cpp, ONNX, and TFLite support. On-device AI inference optimized for resource-constrained environments.

Industrial Systems Flavors

AIL-Framework with industrial-grade orchestration, MQTT/OPC-UA/CAN connectors, policy engine, and observability — purpose-built for factory automation and PLC systems.

Top Level IoT Integration

End-to-end IoT stack connecting devices through secure EIPC channels with NIA neural interface support, multi-transport protocols, and priority-lane real-time control.

EoS Ecosystem Stack

6

IoT Integration Layer

Device management, cloud connectivity, MQTT/CoAP, telemetry, OTA updates

5

Industrial & Edge AI

AIL runtime, edge inference (llama.cpp, ONNX, TFLite), OPC-UA/CAN connectors, orchestration

4

Security & IPC (EIPC)

Capability-based auth, audit logging, replay protection, MessagePack payloads, priority lanes P0–P3

3

OS & Firmware (ForgeOS)

Layered monorepo — core, BSP, distro, vendor, product layers. Ninja build, YAML config, cross-compilation

2

Neural Interface (NIA)

Vendor-neutral BCI adapter, cognitive signal processing, structured events, safe tool calls

1

Boot Platform (E-Bootloader)

Stage-0 HW init → Stage-1 boot manager → A/B slots, CRC/signature verify, rollback, recovery

Explore on GitHub Read the Docs
Core Technology — ForgeOS

From Hardware Designs to Complete OS

ForgeOS build system with Ninja backend, YAML config, and layered monorepo — unified with AIL, NIA, EIPC, and E-Bootloader

CAD Schematic KiCad • Altium • Eagle PCB layouts & components INPUT 1 EE Interface GPIO • I2C • SPI • UART Pin configs & protocols INPUT 2 EoS Engine Parse → Generate → Compile → Build + AI / Neural Link PROCESS Applications User Apps Middleware Services & APIs Device Drivers I2C / SPI / GPIO / UART HAL Hardware Abstraction Kernel Linux / FreeRTOS / Zephyr GENERATED LAYERS OS Image .img • .bin • .elf OUTPUT

CAD Schematic Analysis

Extract component connections from KiCad, Altium, Eagle formats

EE Interface Parsing

Analyze pin configurations, voltage levels, timing specs

Automated Driver Generation

Auto-generate drivers for I2C, SPI, UART, GPIO peripherals

Production-Ready Output

Complete OS image ready for deployment on your hardware

Learn More About Our Process
Process Flow

From Hardware Specs to OS Image

End-to-end pipeline from your hardware design to deployable operating system

CAD/EE Specs

Hardware input

→

Multi-LLM

Code generation

→
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Layered Code

Unified codebase

→

Build System

Compilation

→

OS Image

Ready to deploy

Layered OS Codebase Architecture

1

Application Layer

User applications, system utilities, configuration tools, monitoring dashboards

2

AI/ML Integration Layer

Neural link processing, AI inference engines, pattern recognition, intelligent automation

3

Middleware Layer

Communication protocols, service management, IPC, networking stack

4

Driver Layer

Device drivers generated from CAD schematics and EE interface specifications

5

Kernel Layer

Real-time scheduling, memory management, hardware abstraction (Linux/RTOS)

6

Hardware Layer

Embedded hardware platforms, processors, sensors, communication interfaces

Target Platforms

OS Images for Every Embedded Domain

Ready-to-deploy operating systems for diverse embedded hardware platforms

Automotive ECU

Automotive ECUs

OS images for automotive electronic control units, infotainment systems, ADAS modules, and vehicle gateways.

View Solutions →
Drone UAV

Drones & UAVs

Complete flight computer OS with autonomous navigation, sensor fusion, and real-time control systems.

View Solutions →
Smart Home

Smart Home

IoT gateway OS, smart appliance firmware, home automation controllers, and edge AI devices.

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Industrial Systems

Industrial Systems

Factory automation OS, PLC replacement systems, industrial gateways, and edge computing nodes.

View Solutions →
What You Receive

Our Deliverables

Complete packages from OS images to source code—ready for your embedded hardware

🧪

Beta Demo Image

Free trial
  • Demo OS image for evaluation
  • Limited feature set
  • 30-day evaluation period
  • Community support
  • Basic documentation
Request Demo

Production OS Image

Custom pricing
  • Full production-ready OS image
  • Custom for your hardware specs
  • Built from your CAD/EE schematics
  • AI + Neural Link integration
  • All 6 codebase layers
  • Technical support included
Get Quote
📦

Full Source Code

Enterprise license
  • Complete source code delivery
  • All 6 layers with documentation
  • LLM generation scripts
  • Build system & toolchain
  • Modification rights
  • Priority engineering support
Contact Sales
Credentials

Professional Certifications

Industry-recognized certifications to validate your expertise

Neural Link Security

Certified Neural Link Security Engineer

Validate your expertise in designing and implementing secure neural link architectures with multi-layer protection.

90 Questions ⏱️ 2 Hours 70% Pass
AI Operating System

Certified AI Operating System Developer

Demonstrate proficiency in developing AI-integrated operating systems for embedded platforms.

75 Questions ⏱️ 2 Hours 70% Pass
Embedded Linux

Certified Embedded Linux Professional

Prove your skills in Linux kernel development, device drivers, and system integration.

80 Questions ⏱️ 2 Hours 66% Pass
RTOS Engineering

Certified RTOS Engineer

Master real-time operating system concepts, scheduling, and safety-critical development.

85 Questions ⏱️ 2.5 Hours 70% Pass
View All Certifications
Example Deliverables

Featured OS Image Products

Sample OS images built with our Multi-LLM system for different embedded platforms

AutoOS - Automotive ECU
Demo Available

AutoOS v2.1

Complete automotive ECU operating system with ADAS support, CAN bus integration, and OTA update capability. Built for ARM Cortex-R5 processors.

CAD Import AI Ready ISO 26262
Request Demo →
FlightOS - Drone
Beta

FlightOS Pro

Drone flight computer OS with autonomous navigation, sensor fusion, and real-time control. Multi-LLM generated for STM32H7 platforms.

Schematic Ready Neural Link RTOS
Request Beta →
IndustrialOS - Industrial Automation
Demo Available

IndustrialOS Edge

Industrial edge computing OS with PLC integration, MQTT/OPC-UA, and AI inference. Generated for NXP i.MX8 series.

EE Interface Edge AI Linux Based
Request Demo →
Request Custom OS for Your Hardware
Our Process

How We Build Your Custom OS

From your hardware specifications to a ready-to-deploy operating system image

1. Submit Specs

Provide your CAD schematics, EE interface specs, and hardware requirements. We accept all major CAD formats.

2. LLM Analysis

Our Multi-LLM system analyzes your specs and generates optimized code for each OS layer automatically.

3. Build & Test

We compile the layered codebase, run automated tests, and validate against your hardware specifications.

4. Deliver

Receive your production-ready OS image, beta demo builds, and optionally complete source code with documentation.

Start Your Project Learn More
Community

What Our Members Say

Hear from engineers and researchers building with EoS technologies

"The EoS Research Foundation has been instrumental in advancing our autonomous vehicle development. The open-source neural link protocols saved us years of R&D."

👤
Dr. Sarah Chen
VP Engineering, AutoDrive Inc.

"Getting certified through EoS opened doors I never knew existed. The community support and resources are unmatched in the industry."

👤
Marcus Rodriguez
Senior Embedded Engineer

"As a researcher, the collaboration opportunities through EoS have been transformative. The foundation truly lives its mission of open innovation."

👤
Prof. Yuki Tanaka
MIT Neural Systems Lab
Our Ecosystem

Trusted by Industry Leaders

Join the organizations shaping the future of embedded AI

NVIDIA
Intel
Qualcomm
ARM
Tesla
Bosch
MIT
Stanford
CMU
ETH Zürich
Siemens
Sony
Become a Partner
Join Us

Get Involved

Multiple ways to contribute to the EoS ecosystem

Contribute Code

Submit PRs, fix bugs, and build features for our open-source projects.

GitHub →

Write Docs

Help improve documentation, tutorials, and educational content.

Docs →

Speak & Teach

Present at events, lead workshops, or mentor newcomers.

Contact →

Donate

Support our nonprofit mission with a tax-deductible donation.

Donate →
Latest Updates

News & Announcements

Stay up to date with the latest developments across the EoS ecosystem

March 2025

ForgeOS v0.9 Beta Released

The first public beta of ForgeOS is now available with Ninja build backend, YAML config, and ARM/x86 cross-compilation support. RISC-V support coming in v1.0.

View on GitHub →
February 2025

EIPC Security Audit Complete

Independent security audit of EIPC's capability-based authorization and replay protection has been completed. All critical findings addressed in v1.2.

Read More →
January 2025

AIL-Min Edge Runtime Preview

AIL-Min lightweight agent runtime now supports llama.cpp and ONNX inference on ARM Cortex-A devices. TFLite integration in progress.

Learn More →

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