Research-driven. Architecture-first. Results-oriented.
CLok AI operates as a specialized research and development organization dedicated to creating custom neural architectures and pioneering novel training methodologies.
- Custom Architectures: Engineering novel neural network designs, including Kolmogorov-Arnold Networks (KANs), Spiking Neural Networks (SNNs), Mixture of Experts (MoE), and advanced attention mechanisms.
- Language Model Research: Training, benchmarking, and fine-tuning language models using proprietary, highly optimized architectures.
- Training Methodology: Designing high-throughput training pipelines, advanced data curation strategies, and innovative convergence techniques.
- Tool Development: Building internal, production-grade tools for seamless model development, evaluation, and deployment.
- Datasets: Aggregating and structuring high-quality, curated training data optimized for domain-specific applications.
We build custom architectures from first principles. Our workflow centers on designing, testing, and aggressively iterating on novel neural network components before integrating them into production environments. Every architectural decision we make is backed strictly by rigorous empirical testing and documented results.
We operate on a highly scalable compute infrastructure designed to balance rapid research flexibility with production-grade efficiency. Our automated pipelines allow us to validate architectural hypotheses quickly and safely before committing to full-scale, resource-heavy training runs.
Our models are built to tackle high-stakes, specialized applications including:
- 🪖 Defense and military-grade AI systems
- 📚 Domain-specific language understanding
- 🤖 Autonomous decision-making systems
- 🔋 Edge deployment optimization
- 🧠 Custom reasoning engines
| Repository / Model | Category | Description |
|---|---|---|
| 🚀 clokai/clokAI | Text Generation | Our flagship text generation architecture and research framework. |
Let's build things in advance. Welcome aboard! 🚀