EMBODIOS
The AI IS the Kernel
The world's first bare-metal AI operating system. No Linux. No abstractions. Just pure silicon-to-synapse intelligence.
Boot Time
0s
Cold boot to AI-ready state
Inference Latency
0ms
Token generation overhead
Memory Overhead
0%
vs traditional OS stack
Code Size
0KB
Minimal kernel footprint
Why It Matters
Linux was built for humans using computers. EMBODIOS was built for AI controlling hardware. Every abstraction layer we removed is a millisecond saved in real-time control.
47ms
vs 5 minutesBoot Time
From power-on to AI-ready. NVIDIA Jetson takes 5 minutes. We take a heartbeat.
±0.5ms
vs ±20msInference Jitter
Deterministic timing for safety-critical applications. No surprises, no variance.
<100MB
vs 2-4GBOS Overhead
More RAM for your models, less for operating system bloat.
<50KB
fits in L2 cacheKernel Size
The entire kernel fits in CPU cache. Zero cold misses during inference.
Why Not Just Patch Linux?
“Patching Linux for AI is like patching DOS for the internet. Linux thinks in processes and files. AI thinks in tensors and memory hierarchies. You can't syscall your way to efficient inference — the abstraction layer is wrong, not just slow.”
Interactive Demos
Experience the speed difference yourself. Watch real-time inference and hardware control.
hand-control-demo
Cloud AI
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Cloud API latencyOllama
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Local inferenceEmbodios
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Bare-metal kernelWaiting for commands...
Built for AI, Not Adapted
Every component designed from the ground up for machine learning workloads. No legacy baggage. No unnecessary layers.
Zero-Copy Inference
DMA transfers data directly to model tensors. No kernel copies, no user-space transitions, no wasted cycles.
Sub-millisecond Latency
Deterministic scheduling ensures inference requests are processed with minimal jitter and maximum throughput.
Ollama/GGUF Compatible
Run the same quantized models you use locally. Full GGUF format support with llama.cpp compatible inference.
Multi-Architecture
Native support for x86_64 and ARM64. From workstations to Raspberry Pi to data center GPUs.
Real-time Processing
Priority-based scheduling with interrupt handling designed for continuous inference workloads.
Minimal Footprint
The entire kernel fits in L2 cache. More memory for models, less for operating system bloat.
Where We Deploy
EMBODIOS powers the next generation of intelligent devices across industries, from healthcare to industrial automation.
Robotics
Industrial robots, collaborative robots (cobots), and humanoid robots with real-time AI control and sub-15ms response times.
Healthcare
Medical devices, diagnostic equipment, surgical robots, and patient monitoring systems with on-device AI inference.
Drones & UAVs
Autonomous drones for inspection, delivery, surveillance, and agriculture with edge AI for real-time decision making.
Industrial Automation
Smart manufacturing, predictive maintenance, quality control, and process optimization with embedded AI.
Smart Agriculture
Precision farming equipment, autonomous tractors, crop monitoring, and livestock management with AI vision.
Automotive & AV
Advanced driver assistance, autonomous vehicles, in-vehicle AI assistants, and predictive diagnostics.
Roadmap
Our path to production-ready bare-metal AI. Each phase brings us closer to the vision.
Phase 1: Foundation
Core kernel infrastructure and boot process
Phase 2: AI Integration
Minimal AI runtime and inference pipeline
Phase 3: Production Runtime
Full GGUF support and optimizations
Phase 4: Hardware Acceleration
GPU and NPU integration
Phase 5: MCP & Multiagent
MCP integration and multiagent orchestration
v1.0 Target: Q2 2026
Production-ready bare-metal AI operating system with full hardware acceleration
Contact & Community
Have questions? Want to contribute? Reach out through any of these channels.
Get Early Access
Be the first to know when EMBODIOS Pro launches.