KNSquare Inc.

Structuring Knowledge with Ontology & Graph RAG for Explainable AI

Founded in June 2022, KNSquare Inc. delivers next-generation Ontology-driven Knowledge Graph (KG) & Hybrid RAG Solutions that empower enterprises and public institutions with explainable, evidence-based AI systems.

We provide Ontology + Knowledge Graph extraction and management (KraphMind),
Graph-RAG based Q&A chatbot solutions (KNie), and custom ontology consulting services,
all available with flexible deployment options including SaaS, on-premise, and hybrid models.

Our Core Solutions

• KraphMind: SaaS for automatic ontology design & knowledge graph extraction
• KNie: Graph-RAG based enterprise Q&A chatbot with explainable answers
• Custom Ontology Consulting: Domain-specific modeling and graph optimization
• Deployment Options: Stand-alone SaaS, integrated packages, or private/hybrid cloud

Why KNSquare?

• Traditional RAG: Vector search only → black-box responses
• KraphMind + KNie: Ontology + Graph RAG → context-aware, explainable, evidence-backed answers

Our platform is specifically designed for policies, regulations, manuals, and process documents, delivering faster deployment, lower cost, and higher trustworthiness than traditional AI solutions.

Our Achievements

• Busan Cultural Center (South Korea):
  Transformed regulation manuals into a knowledge graph and deployed a Q&A support system.→ Easier access to regulations leads to 20% increase in work productivity, 20% reduction in customer support workload, and improved customer satisfaction
• Public & Enterprise Use Cases:
  Reduced implementation time by 50%, improved compliance management, and enhanced knowledge continuity.

Our Goal

KNSquare aims to be East & Southeast Asia’s most recognized and trusted integrator for Ontology + Graph RAG-based Explainable AI systems, delivering world-class, enterprise-grade knowledge infrastructure that exceeds customer expectations.