MetanetDL and MetanetFintech Partner With Neo4j to Expand AI and GraphRAG Markets
TECHWORLD ·
✦ AI Summary
MetanetDL, MetanetFintech, and Neo4j have signed an MOU to expand their AI transformation businesses.
The partnership targets enterprises, universities, and finance, with the goal of advancing industry-specific AI solutions and identifying joint business opportunities.
The two sides will pursue knowledge graph- and GraphRAG-based services, AI agents and workflow automation, PoC projects, and joint marketing.
MetanetDL, MetanetFintech, and Neo4j announced on the 31st that they have signed a memorandum of understanding (MOU) to expand their AI transformation businesses. The target sectors are enterprise, universities, and finance.
The partnership focuses on combining Metanet's industry-specific solution and system implementation capabilities with Neo4j's graph database and knowledge graph technologies to enhance industry-specific AI solutions and identify joint business opportunities. The companies said the move is aimed at broadening the use of AI across industries by adding Neo4j's graph technology to Metanet's industry-specific solution and implementation capabilities.
Accordingly, the two sides plan to apply Neo4j technology to Metanet solutions and develop knowledge graph- and GraphRAG-based services. They will also work together on AI agents, workflow automation, customer proof of concept (PoC) projects, and joint marketing as they seek to expand business in the enterprise, university, and finance sectors.
MetanetDL said that as generative AI and AI agent adoption spreads, the importance of a knowledge layer that connects corporate data to AI systems is growing. As the background for the partnership, it pointed to the increasing need for a knowledge layer that links enterprise data and AI as generative AI and AI agents become more widely used.
The knowledge layer function lies in structuring the relationships, context, and logic of connections among data inside a company. This makes it possible for AI to go beyond information retrieval and support data-based reasoning, which in turn improves the accuracy of AI responses. It is also expected to enhance clarity around the basis for decisions, strengthen explainability, and improve reliability.
Metanet affiliates plan to incorporate this technology into their respective solutions. MetanetDL will apply Neo4j's knowledge graph technology to its ECM solution, SOLME, and develop it further into an AI-based content platform. It also identified agentic document transformation for enterprise customers as a key task.
MetanetDL will apply ontology-based technology that connects the relationships among academic, administrative, and research data inside universities to MetaE4U. Based on this, the company aims to build a question-and-answer AI agent grounded in internal university data, an AI agent that can perform tasks based on internal university data, and an intelligent university information system.
MetanetFintech plans to combine Neo4j's knowledge graph technology with its financial risk management and compliance solution, RiskCraft. Through this, it aims to advance the platform into an "AI CRO (Chief Risk Officer) agent platform" that analyzes the relationships among financial data and the rationale behind risk judgments, and to support risk detection, regulatory response, and internal control work at financial companies.
Lee Chang-yeol, CEO of MetanetDL and MetanetFintech, said that for enterprises to use AI in practice, a foundation is needed that accurately connects the relationships and context of distributed data. He said the companies plan to work with Neo4j to incorporate ontology and knowledge graph technologies into industry-specific solutions and to transform data into a structure that AI can understand and use, thereby expanding the implementation of AI services that support actual work.
Xander Smart, head of Neo4j ASEAN, said the company will combine Metanet's expertise in IT solutions and services with Neo4j's knowledge layer. He said this will support the connection of data and context for enterprises, universities, and financial institutions, help AI go beyond simple search to reasoning, and drive the provision of GraphRAG and AI services to strengthen AI reliability and explainability, while also expanding joint business opportunities.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406249
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Source: TECHWORLD
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