🧠 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.