---
title: Cubic
emoji: 🧠
colorFrom: blue
colorTo: purple
sdk: streamlit
app_file: index.html
pinned: false
---
# Cubic — AI and Cybersecurity Research
Building accessible AI systems that run on consumer hardware. Our projects focus on CPU-first training, open-source research, and practical deployment.
## Key Metrics
- **27 models** — 1 research paper — 3 team members
- **$0.004** min training cost — **100%** open source
## Research Focus
- **AI Development** — CPU-first architectures and open-source models
- **Cybersecurity** — AI-powered security tools and threat detection
## Projects
### AXL — CPU-First Code Generation
- **27 models** from 566K to 318M parameters
- **Training cost**: $0.004 per model on consumer CPU
- **Architecture**: Multi-scale byte-level transformer
- **License**: Apache 2.0
- Click the project card on the org page to see the full AXL detail page
## Team
- **Kennedy**: CEO & Head of AI Research
- **Jasser**: CTO & Head of Cybersecurity
- **Taem**: Head of Marketing/Sales/Technical Assist
## Interactive Tools
The org card includes two live calculators, grounded in AXL's real published numbers:
- **Memory Usage Estimator** — total estimated RAM from weights (at your chosen quantization) plus KV-cache overhead
- **Inference Speed Calculator** — estimated CPU tokens/sec by parameter count and thread count
## Key Features
- Dark/Light theme toggle
- Two live calculators (memory & inference speed)
- Print-friendly CSS
- Responsive design
## Links
- [GitHub](https://github.com/Cubic-Labs)
- [HuggingFace](https://huggingface.co/Cubic)
---
*CPU-first, AI for everyone.*