Welcome to Deepcomet AI
Deepcomet is building the vertical AI integration stack — from a tensor-native language (Aurelia) to an AI-native kernel (Zenith) and generative OS (SkyOS).
What is Deepcomet?
Deepcomet AI is an integrated ecosystem of technologies designed to create a seamless AI-native computing environment:
- Aurelia Language — Systems programming language with first-class tensor primitives
- Zenith Kernel — Microkernel with probabilistic scheduling and AI-Watchdog
- SkyOS — Generative OS powered by Large Action Models
- DeepComet Models — 10B+ parameter models for kernel optimization
- SkyCloud — Decentralized cloud network sharing idle NPU power
Key Principles
AI-Native Architecture
Traditional systems bolt AI on top. We build AI in from the ground up:
- Tensor-First Design: Native tensor primitives in the language
- Neuro-Symbolic Bridge: Formal verification meets neural optimization
- Probabilistic Computing: Embrace uncertainty as a first-class citizen
Vertical Integration
| Layer | Technology | Purpose |
|---|---|---|
| Language | Aurelia | Tensor-native systems programming |
| Kernel | Zenith | AI-native microkernel |
| OS | SkyOS | Generative operating system |
| Models | DeepComet | Kernel-optimized AI |
| Cloud | SkyCloud | Decentralized NPU sharing |
Quick Start
Choose your path:
- Learn Aurelia — Start with the programming language
- Explore Zenith — Dive into the kernel architecture
- Discover SkyOS — Experience the generative OS
Community
The future of AI is integrated. The future is Deepcomet.