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# 🧠 DataArcTech

**Grounded in context graphs. Empowered by synthetic data.**  
[🌐 dataarctech.com](https://www.dataarctech.com)

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## 🚀 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.

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## 🧩 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. |

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## 🧪 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  

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## 💼 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.

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## 🌍 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.

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## 🤝 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).