Update README.md

README.md

@@ -1,8 +1,8 @@
 <!-- KlusAI • Hugging Face Org Card -->
 
 <p align="center">
-  <strong>KlusAI Labs</strong><br>
-  <em>Applied AI • Open Research • Romanian Craftsmanship</em>
+  <strong>KlusAI</strong><br>
+  <em>Where AI research meets real-world impact</em>
 </p>
 
 <p align="center">
@@ -12,50 +12,92 @@
   <a href="https://github.com/klusai">
     <img src="https://img.shields.io/badge/GitHub-@klusai-black?logo=github" alt="GitHub">
   </a>
-  <a href="https://twitter.com/klusai">
-    <img src="https://img.shields.io/badge/Twitter-@klusai-1DA1F2?logo=twitter&logoColor=white" alt="Twitter">
+  <a href="https://x.com/klusai">
+    <img src="https://img.shields.io/badge/X-@klusai-black?logo=x&logoColor=white" alt="X">
   </a>
-  <a href="https://www.klusai.com/contact">
-    <img src="https://img.shields.io/badge/Contact-us-brightgreen?logo=minutemailer&logoColor=white" alt="Contact us">
+  <a href="https://www.klusai.com/research/">
+    <img src="https://img.shields.io/badge/Research-klusai.com-brightgreen?logo=beaker&logoColor=white" alt="Research">
   </a>
 </p>
 
 ---
 
-## 🔍 What we’re about
-KlusAI builds **compact, production-ready language models** and shares the research openly.  
-Our goal: make enterprise-grade NLP accessible without the giant hardware bill.
+## 🔍 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](https://ieeexplore.ieee.org/abstract/document/11080380) · 📝 [arXiv Preprint](https://arxiv.org/abs/2503.14023)
 
 ---
 
-## 🔬 Research spotlight
+## 🔬 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.
+
+| Release | Description | Size |
+|---------|-------------|------|
+| **TinyFabulist v1** | Synthetic English Fables | ~3M examples |
+| *Upcoming* | Multilingual extensions, evaluation benchmarks | — |
 
-### TinyFabulist Project
-**TinyFabulist** is our flagship *open research programme* on generative narrative AI. Rather than a single dataset, it is a **living corpus** that explores how *small language models (SLMs)* can craft moral fables at scale, providing a fertile playground for studying story structure, controllable generation, and cultural adaptation.
+**Key principles:**
+- 📊 **Scale** — 9M+ synthetic training examples generated
+- 🔧 **Efficiency** — All content produced with ≤8B parameter models
+- 🔓 **Openness** — Generation scripts, pipelines, and methodology shared publicly
 
-- **Growing corpus** – Public releases begin with **TinyFabulist v1** (~3 M English fables). Upcoming versions will add new languages, richer metadata, and evaluation benchmarks.  
-- **Compact-model focus** – All content is produced with lightweight, instruction-tuned models (≤ 8 B params), showing that compelling long-form text is possible without gigantic, closed models.  
-- **Open tooling** – We share generation scripts, evaluation pipelines, and annotation guides so the community can reproduce, critique, and extend our work.
+📄 [Paper (arXiv)](https://arxiv.org/abs/2504.20605) · 💻 [Code (GitHub)](https://github.com/klusai/tinyfabulist)
 
 ---
 
-## 💼 What we do for partners
+## 📦 What You'll Find Here
 
-| Service | What you get |
-| --- | --- |
-| **Custom AI consulting & delivery** | End-to-end design, build, and deployment of tailor-made ML/NLP systems. |
-| **Business-process automation** | AI workflows that cut manual effort and boost operational speed. |
-| **Data architecture & analytics** | Data pipelines and dashboards that transform raw data into decisions. |
-| **AI training & upskilling** | Workshops, bootcamps, and mentorship for teams and academia. |
+- **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
 
 ---
 
-## 🤝 Let’s collaborate
+## 🤝 Work With Us
 
-We love open dialogue!  
+Beyond open research, we offer enterprise AI services:
 
-- **Website & contact form:** <https://www.klusai.com/contact/>  
-- **GitHub & Twitter:** `@klusai`  
-- **Hugging Face issues:** Open an issue on this profile for technical questions or requests.
+| Service | Description |
+|---------|-------------|
+| **AI Strategy** | Define your AI roadmap and implementation plan |
+| **Custom Development** | Bespoke AI solutions tailored to your domain |
+| **Model Training** | Fine-tuning and deploying models for your use case |
+| **MLOps & Infrastructure** | Scalable pipelines and production deployment |
 
-> Working on something exciting in Romanian AI? **Drop us a line** – we’re always keen to collaborate.
+**Need custom synthetic data or domain-specific models?** We partner with organizations on applied research challenges.
+
+---
+
+## 📫 Get in Touch
+
+| Purpose | Contact |
+|---------|---------|
+| Research collaboration | [research@klusai.com](mailto:research@klusai.com) |
+| Enterprise services | [services@klusai.com](mailto:services@klusai.com) |
+| General inquiries | [hello@klusai.com](mailto:hello@klusai.com) |
+
+> **Technical questions?** Open an issue on the relevant dataset or model repository.
+
+---
+
+<p align="center">
+  <strong>Applied Research · AI Services · Ventures</strong><br>
+  <a href="https://klusai.com">klusai.com</a> · <a href="https://github.com/klusai">GitHub</a> · <a href="https://x.com/klusai">X</a>
+</p>