KlusAI Labs

KlusAI
Where AI research meets real-world impact

🔍 What We're About

KlusAI bridges the gap between cutting-edge AI research and production systems. We publish our datasets and models openly to advance the field — 9M+ synthetic training examples and counting.

Research Themes:

• 🧬 Synthetic Data Generation — Large-scale training data without privacy concerns
• ⚡ Efficient AI Systems — Models that run on consumer hardware
• 🌍 Multilingual NLP — With deep Romanian language expertise

📄 Featured Publication

Synthetic Data Generation Using Large Language Models

Advances in Text and Code — IEEE Access, 2025

Our comprehensive survey on generating training data using LLMs. How enterprises can generate training data at scale — reducing annotation costs, addressing data scarcity, and enabling fine-tuning without exposing sensitive data.

📖 Read on IEEE Xplore · 📝 arXiv Preprint

🔬 Flagship Project: TinyFabulist

TinyFabulist is our open research programme on large-scale synthetic narrative generation. We demonstrate that small, efficient models can produce high-quality training data at scale.

Key principles:

• 📊 Scale — 9M+ synthetic training examples generated
• 🔧 Efficiency — All content produced with ≤8B parameter models
• 🔓 Openness — Generation scripts, pipelines, and methodology shared publicly

📄 Paper (arXiv) · 💻 Code (GitHub)

📦 What You'll Find Here

• Datasets — Large-scale synthetic training corpora for fine-tuning and research
• Models — Efficient, instruction-tuned models optimized for specific tasks
• Evaluation — Benchmarks and tooling for synthetic data quality assessment

🤝 Work With Us

Beyond open research, we offer enterprise AI services:

Need custom synthetic data or domain-specific models? We partner with organizations on applied research challenges.

📫 Get in Touch

Technical questions? Open an issue on the relevant dataset or model repository.

Applied Research · AI Services · Ventures
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