Update README.md

README.md

@@ -6,5 +6,71 @@ colorTo: blue
 sdk: static
 pinned: false
 ---
+# 🧠 DataArcTech
 
-Edit this `README.md` markdown file to author your organization card.
+**Grounded in context graphs. Empowered by synthetic data.**  
+[🌐 dataarctech.com](https://www.dataarctech.com)
+
+---
+
+## 🚀 About Us
+
+**DataArcTech** bridges enterprise knowledge and synthetic data to build **GenAI-ready infrastructures**.  
+Our core framework — **Context Graph + Synthetic Data** — enables organizations to represent, augment, and operationalize knowledge for intelligent systems.
+
+We focus on **AI compliance, contextual reasoning**, and **data synthesis technologies** that empower enterprises to transition from static data management to adaptive, knowledge-driven AI.
+
+---
+
+## 🧩 What We Do
+
+| Area | Description |
+|------|--------------|
+| **Context Graph (SoG / Graph Synthesis)** | A structured framework that connects data, context, and reasoning for LLM readiness. |
+| **Synthetic Data Generation & Augmentation** | Produces high-quality, domain-specific datasets when real data is limited, sensitive, or unavailable. |
+| **End-to-End AI Lifecycle Support** | From data synthesis and curation to model training and fine-tuning. |
+| **AI Governance & Compliance** | Aligning intelligent systems with enterprise-level data governance and regulatory standards. |
+
+---
+
+## 🧪 Research & Open Source
+
+We contribute to the GenAI research ecosystem through open projects and publications:
+
+- **[ToG-2 (Think-on-Graph 2.0)](https://github.com/IDEA-FinAI/ToG-2)** – Knowledge-guided reasoning and retrieval for LLMs  
+- **[JudgeAgent](https://arxiv.org/html/2509.02097v3)** – An agent framework for automated evaluation of conversational and generative models  
+- **[SQL-R1](https://www.github-zh.com/projects/981865038-sql-r1)** – Reinforcement learning for natural language to SQL translation  
+- **[Awesome-FinLLMs](https://github.com/DataArcTech/Awesome-FinLLMs)** – A curated list of LLMs and datasets for financial AI research  
+
+---
+
+## 💼 Industry Applications
+
+Our technology powers domain adaptation and synthetic data generation in sectors such as:
+
+- **Financial Services**
+- **Manufacturing**
+- **Healthcare**
+- **Cloud Computing**
+- **Education & Research**
+
+We help enterprises build **domain-specialized LLMs** by combining our hybrid synthetic datasets with proprietary client data — achieving safe, contextual, and compliant AI transformation.
+
+---
+
+## 🌍 Our Vision
+
+To make enterprise AI **contextually intelligent**, **data-secure**, and **governance-ready** —  
+where every knowledge graph and dataset contributes to a more explainable, adaptive, and trustworthy AI ecosystem.
+
+---
+
+## 🤝 Collaboration
+
+We’re open to collaboration on:
+
+- Dataset and model sharing  
+- LLM fine-tuning and evaluation  
+- Context graph / knowledge integration research  
+
+💬 Reach out via [dataarctech.com](https://www.dataarctech.com) or connect through our [GitHub organization](https://github.com/DataArcTech).