DataArc - Intelligent Future
DataArc blends enterprise knowledge with synthetic data to deliver complete GenAI-ready technology stacks.
Vision
Delivering Reliable Generative AI for Complex,
and Multilingual Environments .
Who We Are
DataArc builds trusted, controllable, and production-ready AI infrastructure.
We help enterprises overcome data scarcity, sensitivity, and fragmented knowledge, with deep expertise in regulated industries and multilingual environments.
Technology Advantage
We structure enterprise intelligence through context graphs and strengthen model reasoning through synthetic data — transforming accumulated knowledge into decision-ready AI capabilities.
Core Capabilities
We provide an end-to-end enterprise AI stack, from synthetic data generation to knowledge structuring and deployment. Synthetic data removes real-world data constraints to enable precise domain reasoning, while context graphs transform fragmented documents into actionable intelligence.
Ask me something..
SynData Platform
SynData Platform generates domain-specific synthetic datasets that elevate smaller models to near teacher-level performance in vertical scenarios, breaking through the scale, cost, and regulatory limits of real-world data.
Living KB（Enterprise Knowledge Systems）
Living KB built an industry-grade AI knowledge system for a leading Hong Kong brokerage, improving accuracy, speed, and service efficiency through semantic search, graph reasoning, and visualized relationship mapping, while empowering agents to boost business and client conversions.
Generate content..
Generate
AI Coaching & Simulation
Our AI coaching platform turns enterprise knowledge into adaptive simulations and scenario-based assessments. Powered by synthetic data, it mitigates corpus scarcity and domain bias, ensuring stable deployment in employee training and frontline enablement.
Jack Daniel
Founder
Justin Rocks
Marketing head
justin@main.com
Phone
+1(812)98XXX
Company
XYZ LLC
Verified
Yes
Generate Leads
Low-resource Language AI (Arabic & Thai)
DataArc delivers speech and language AI capabilities for low-resource languages, including Arabic and Thai ASR and TTS.
We open-source Syndata Toolkit and RAG-ARC to make synthetic data generation and graph-based enterprise retrieval lightweight and accessible, lowering experimentation barriers and enabling privacy-safe, controllable AI system design at scale.
Syndata Toolkit
An open-source toolkit for developers and enterprises to rapidly build controllable, privacy-preserving synthetic training data.
RAG-ARC
An open-source knowledge architecture designed for enterprise environments, supporting graph-based knowledge organization and extensible retrieval infrastructure.
Coverage
DataArc has proven success across multiple core industries.
Cases
In-depth insights into leading enterprises' AI transformation practices and significant achievements.
Insurance — AI Knowledge & Service Platform
Built an industry-grade AI knowledge system for a leading Hong Kong brokerage, improving accuracy, speed, and service efficiency, while empowering agents to boost business and client conversions.
Security
Efficiency
Speed
Accuracy
Status:
Updating:
Manufacturing – R&D Knowledge Hub & Intelligent Training System
We built an R&D knowledge hub for a global manufacturing leader, enhancing knowledge retrieval and shifting from “point queries” to “networked understanding.” The system integrates technical resources, generating exercises and exams to accelerate skill and engineering development.
Cloud Services — Vertical Model Optimization
Customized industry-specific models for a major cloud provider, achieving an average 25% improvement in recall and accuracy through synthetic data and model optimization.
FAQs designed to provide the information you need.
What is DataArc's dynamic knowledge base?
How can I query data with the DataArc knowledge base?
What is synthetic data?
How is synthetic data quality ensured?
Deep expertise in AI compliance and synthetic data innovation, delivering scalable data supply for the world’s most resource-constrained scenarios.