DataArc blends enterprise knowledge with synthetic data to deliver complete GenAI-ready technology stacks.
Grounded in context graphs and empowered by synthetic data, we make enterprise knowledge bases truly GenAI-ready.
Context Graph
Transforming raw data into knowledge that can be understood and utilized by large models
SoG Graph Synthesis Technology
Intelligent synthesis based on knowledge graphs, model capability improved by 25.4%
Lightweight Synthetic Data Augmentation
Combined with SoG technology, supplement context graphs through synthetic data in knowledge-scarce areas
Cold Start Data Problem Solution
Provide high-quality synthetic data when real data does not exist, is unlabeled or difficult to obtain
Covering the full cycle from data synthesis to model training, making models more accurate, efficient, and secure.
Synthetic Data Platform
DataArc's independently developed synthetic data toolkit enables users to synthesize the required training data in one step via a simple configuration file, tailored to their specific needs
RagArc
A modular Retrieval-Augmented Generation (RAG) framework designed to build efficient and scalable architectures, supporting multi-path retrieval, graph structure extraction, and fused ranking
Minority Language Model Platform
Leveraging synthetic data, the platform solves the minority language corpus shortage. This critically enhances LLMs and multimodal models in minority language tasks, dialect recognition, and value alignment
DataArc has proven success across multiple core industries.
In-depth insights into leading enterprises' AI transformation practices and significant achievements.
Insurance & AI Smart Customer Service
Delivered technology optimization solutions for a major insurance group, dramatically improving dialog quality and handling efficiency with synthetic data
Finance & FinAI Economic Superbrain
Developed the FinAI Economic Superbrain in collaboration with IDEA Research Institute. It leverages contextual graphs and synthetic data technology to create an industry-leading specialized Large Model for financial knowledge
Manufacturing & Air Conditioning R&D Knowledge Base
Aimed at R&D scenarios in the manufacturing industry, it features knowledge automation, visualization, and intelligent Q&A. It addresses three core pain points: knowledge fragmentation, inefficient retrieval, and shallow reasoning
FAQs designed to provide the information you need.
Focus on AI compliance management and intelligent technology innovation, driving enterprise digital transformation through synthetic data technology.