[AI Brief] Eastsoft to Launch AI Assistant “Albiseo” in Second Half, Targets 10 Million MAU by 2030
IT DAILY ·
✦ AI Summary
Eastsoft said it plans to unveil its AI assistant, “Albiseo,” in the second half of this year.
“Albiseo” was presented as a form capable of understanding personal files, schedules and everyday information, and of autonomously carrying out tasks.
The company set a target of 10 million MAU by 2030.
IT Daily’s “AI Brief” is a section that provides a comprehensive roundup of major AI news from Korea and abroad.
Eastsoft said on the 31st that it plans to unveil its AI assistant, “Albiseo,” in the second half of this year.
“Albiseo” was presented as a form capable of understanding personal files, schedules and everyday information, and of autonomously carrying out tasks.
Based on its know-how in operating Altools and Zoom, Eastsoft said it aims to combine agentic AI and AI human technology to position “Albiseo” as a personal AI agent that anyone in the public can use.
Through this, the company set a target of 10 million MAU by 2030.
Albiseo is conceived as the easiest-to-use installed AI agent, and its core competitive edge is a personal agent that goes beyond a conversational tool for following instructions to autonomously complete tasks. The company also highlighted understanding and operating personal file systems and inference based on a small language model (SLM) as strengths, expecting these to reduce costs and secure service sustainability. Deployment formats will include PC-installed, app and web versions, and the company also cited securing an operating network based on Altools as a key competitive advantage.
The service will begin this year centered on chatbot services, and next year it plans to expand into multimodal generation, specialized information search for patents, precedents and real estate, expanded skill wish stores linked with deep research, and AI human and voice conversations. Through this, the company aims to broaden accessibility while also strengthening security levels. Service launch will begin in the second half of this year.
The company set a goal of securing 10 million monthly active users (MAU) by 2030. On site, a delegation led by Sheikh Saud, head of the Sharjah Digital Department in the UAE, visited the Fourtitude booth and asked questions related to AI agents. According to the photo caption, Kim Dong-hwan, CEO of Fourtitude, was seated second from the right.
Fortytwo Maru has begun its push into the MENA AI market. On the 31st, the company said it will fully accelerate its push into the Middle East, including Saudi Arabia, through the Korea Technology Service Small and Medium Venture Business Saudi Partnership Establishment Support Project, hosted by the Small and Medium Venture Business Corporation.
The project is a program that supports promising Korean tech startups and SMEs in technology-based innovative service sectors such as AI in building local partnerships in Saudi Arabia and expanding market entry. Fortytwo Maru used this as an opportunity to expand its Middle East outreach.
Fortytwo Maru plans to supply its offerings in line with Saudi Arabia's strong data sovereignty policy stance and local companies' demand for AX. Its target customers are local government and public institutions, as well as financial, energy and manufacturing companies.
Its main tools are on-premises-based large language model (LLM) and retrieval-augmented generation (RAG) solutions. Fortytwo Maru plans to supply its domain-specialized compact language model, “LLM42,” and its high-precision retrieval-augmented generation solution, “RAG42,” on-premises and via private cloud.
Through this project, Fortytwo Maru will pursue business with Saudi government ministries and public institutions, while also targeting state-owned conglomerates in the energy and petrochemical sectors. Its key demand base has strict data sovereignty and security requirements.
Based on this business rollout, Fortytwo Maru will explore cooperation possibilities with the national AI platform ecosystem led by Saudi Arabia's sovereign wealth fund, PIF, as part of a midterm strategic partnership. With support from the Small and Medium Venture Business Corporation, it is also reviewing a cooperation model for a national AI platform encompassing public and enterprise infrastructure across Saudi Arabia.
The cooperation model includes the combination of Fortytwo Maru's high-precision RAG42 and MRC42 technologies. Fortytwo Maru plans to use follow-up support from the Small and Medium Venture Business Corporation, and as part of that support, it will seek linkage with Riyadh GBC occupancy. Through this, it will focus on finding local SI partners and winning projects.
Meanwhile, Metanet DL and Metanet Fintech signed an MOU with Neo4j to expand the AI and graph RAG market. Lee Chang-yeol is the CEO of Metanet DL and Metanet Fintech, and Xander Smart is the ASEAN head at Neo4j. The photo source is Metanet.
Metanet DL, Metanet Fintech and Neo4j said on the 31st that they signed an MOU to expand AI transformation projects in the enterprise, university and financial sectors. Metanet DL and Metanet Fintech are seeking to expand AI and graph RAG business in those sectors.
The three companies plan to combine Metanet's industry-specific solution and system-building capabilities with Neo4j's graph database and knowledge graph technologies. The plan is to combine Metanet's industry-specific solution and system-building capabilities with Neo4j's knowledge graph technology.
The goal is to advance industry-specific AI services such as AI agents and workflow automation. Along with plans to enhance industry-specific AI solutions, the three companies also set out to identify joint business opportunities.
Key areas of cooperation include applying Neo4j technology to Metanet solutions, developing services based on knowledge graphs and graph RAG, AI agents and workflow automation, customer-facing proof of concepts (PoC), and joint marketing.
Lee Chang-yeol, CEO of Metanet DL and Metanet Fintech, said that for practical enterprise use of AI, a foundation is needed that accurately connects the relationships and context of distributed data.
Lee said the company will work with Neo4j to apply ontology and knowledge graph technologies to industry-specific solutions and turn data into a structure that AI can understand and use.
He also said the company will expand implementation of AI services that support actual work.
Kolon Benit said on the 31st that it participated as a gold sponsor in “HR Connect Seoul 2026,” hosted by SAP Korea on the 27th.
Kolon Benit ran a booth at the event, introduced SAP SuccessFactors solutions and held customer consultations, while presenting HR strategies based on its own “SAP SuccessFactors prepackage” and strategies for efficiently building cloud-based HR systems.
In an afternoon session, Choi Ha-neul, a senior manager at Kolon Benit, gave a presentation titled “SAP SuccessFactors Prepackage: Starting HR Innovation Quickly.” The photo caption identifies Kolon Benit.
The prepackage is a deployment model based on SAP SuccessFactors that provides core modules centered on HR, performance and evaluation in a standardized format. Unlike full-scale deployments centered on large enterprises, it minimizes the lengthy requirements analysis and design process and applies a standard design that templates proven deployment and operations experience, cutting the implementation period to about 3 months. After adoption, additional functions can be expanded step by step.
As a domestic gold partner of SAP, Kolon Benit plans to participate in this event to promote its prepackage and its expertise. It also plans to expand contact points with companies considering HR system adoption and pursue greater business opportunities in related areas.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=241297
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Source: IT DAILY
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