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🧠 DataArcTech
Grounded in context graphs. Empowered by synthetic data.
🌐 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) – Knowledge-guided reasoning and retrieval for LLMs
- JudgeAgent – An agent framework for automated evaluation of conversational and generative models
- SQL-R1 – Reinforcement learning for natural language to SQL translation
- 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 or connect through our GitHub organization.