FortytwoMaru to Unveil Public-Sector and Defense-Specialized AX Technologies at 'AI Festa 2026'
TECHWORLD ·
✦ AI Summary
FortytwoMaru plans to unveil public- and industry-specialized AX solutions and deployment cases at 'AI Festa 2026.' In the public sector, it plans to introduce the 'government-wide hyper-scale artificial intelligence common platform' developed with Naver Cloud and a proof-of-concept case for the 'AI safety guardian for products applied to the human body.' In defense, the defense industry, and industry sectors, it will present domain-specific models such as 'LLM42-DEF,' more than 100 adoption cases, and technical consultation and business matching.
FortytwoMaru plans to participate in 'AI Festa 2026' and unveil public- and industry-specialized AX solutions, while also introducing deployment cases. The offerings will include domain-specific AI transformation technologies tailored to work environments across sectors such as public administration, defense, defense industry, manufacturing, and finance.
In the public sector, it plans to introduce the 'government-wide hyper-scale artificial intelligence common platform' developed in collaboration with Naver Cloud. The 'government-wide hyper-scale artificial intelligence common platform' is built around multi-LLM serving, RAG, semantic document parsing, and an agent builder.
The platform supports public institutions in using their data and also provides functionality for building conversational services. FortytwoMaru plans to present a flow in the public sector that connects data utilization support with conversational service development.
It will also showcase a proof-of-concept case for the 'AI safety guardian for products applied to the human body' initiative promoted by the Ministry of Science and ICT and the Ministry of Food and Drug Safety. Through this case, FortytwoMaru expands the scope of public AX applications from administrative work to public-facing services.
In the defense and defense industry sectors, a presentation case centered on the lightweight language model 'LLM42-DEF' was introduced, assuming environments where external transfer is difficult and the model can operate on closed networks and segregated networks. Internal-network AI is used to support commanders and staff in information retrieval and work judgment without exporting data outside.
Also included in the exhibition lineup is the generative AI platform being built by Hanwha Aerospace and Hanwha Systems. The platform is designed for an environment that takes both general networks and defense networks into account. As presentation cases, it also introduced AI design automation specialized for defense at Korea Aerospace Industries (KAI) and the smart logistics support platform of the Army Logistics Command.
In the industrial sector, it presented a single technology stack comprising the domain-specific lightweight language model 'LLM42,' RAG technology 'RAG42,' the task-execution agentic AI 'Agent42,' and 'MCP42' for connecting internal systems and external tools.
FortytwoMaru claims it has secured more than 100 adoption cases across electronics, telecommunications, finance, automotive, manufacturing, legal, education, healthcare, defense, and public sectors, and it is participating in this exhibition based on those implementation results across multiple industries and public-sector areas.
At this exhibition, industry-specific consultants will be stationed at the booth to provide technical consultation and business matching for public institutions and companies. Based on the work environment, security level, and data structure of public institutions and companies, the consultants will propose the required model, RAG, and agent configurations.
Kim Dong-hwan, CEO of FortytwoMaru, said the company plans to continue expanding domain-specific AX technologies that will lead to business innovation for companies and institutions, based on its experience applying AI technologies tailored to real work environments in public administration and in defense and the defense industry.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407835
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Source: TECHWORLD
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