[AI Brief] Korea Information Engineering Posts KRW 233.6 Billion in First-Half Sales, Up 181% YoY
IT DAILY ·
✦ AI Summary
Korea Information Engineering posted sales of KRW 233.6 billion, operating profit of KRW 1.5 billion, and net income of KRW 1.5 billion in the first half of 2026.
Compared with the same period a year earlier, sales increased 181%, operating profit rose 171%, and net income rose 524% from a loss in the same period a year earlier, turning to profit.
The company won a contract worth in the KRW 10 billion range from the Korea Institute of Ocean Science and Technology, developed the chatbot Harochat and the AI appliance "Beon," and said it would maintain its growth momentum in the second half of the year while pursuing higher shareholder value.
The "AI Brief" section brings together and introduces major AI news from Korea and abroad.
This item covers Korea Information Engineering's first-half 2026 earnings announcement. Korea Information Engineering announced its first-half 2026 results on the 13th.
According to the company, cumulative results for the second quarter of 2026 came to sales of KRW 233.6 billion, operating profit of KRW 1.5 billion, and net income of KRW 1.5 billion. Korea Information Engineering's first-half 2026 sales also stood at KRW 233.6 billion.
Compared with sales of KRW 83.1 billion in the same period a year earlier, sales increased 181%, while operating profit rose 171% year over year. Net income increased 524% from a loss in the same period a year earlier and turned to profit, following the first quarter. The company said the results were the best in its history.
Korea Information Engineering won a contract worth in the KRW 10 billion range from the Korea Institute of Ocean Science and Technology. Along with securing large-scale projects, the company is also developing its own AI software.
Korea Information Engineering developed an enterprise private AI chatbot called "Harochat" and also developed an AI appliance called "Beon." The purpose of pushing ahead with in-house software development is to secure new revenue models and future growth engines.
Yoo Yong-seok, chief executive of Korea Information Engineering, said the company plans to maintain its growth momentum in the second half of the year. He also expressed its commitment to enhance shareholder value and continue setting new performance records.
The source is TmaxTibero. TmaxTibero (Tibero) will participate in the "International Hospital & Healthcare Expo (KHF 2026)" on the 19th.
At KHF 2026, TmaxTibero (Tibero) plans to unveil a data infrastructure optimized for the medical data environment and present its data infrastructure-building strategy. The move responds to a trend in which the scale of medical data is expanding as AI spreads, and the scope of medical data use is widening as digital healthcare becomes more widespread.
Tibero plans to introduce a strategy for building infrastructure that supports stable data management at hospitals and health care institutions, as well as a strategy for building infrastructure that supports data control at hospitals and health care institutions.
Based on data infrastructure needs for core systems at medical institutions, an integrated data platform portfolio was unveiled. The portfolio focuses on high performance, high availability, and uninterrupted operations.
The portfolio includes databases, data appliances, data replication, disaster recovery, and DB operations management. It was presented as an integrated data platform portfolio for core systems at medical institutions.
Key solutions include the enterprise DBMS "Tibero," the ultra-high-performance DB appliance "ZetaData," the real-time data synchronization and disaster recovery solution "ADR," and the DB integrated operations management platform "OwlDB." Each solution was introduced as a component of the integrated data platform portfolio.
Yoo Kyung-ho, vice president and head of Tibero's public sector business division, said security to protect sensitive patient information is essential in medical institution data environments. He added that a stable data infrastructure is also essential to ensure continuity in core medical institution operations.
Meanwhile, Deeping Source said on the 13th that it plans to expand the scope of application for its AI video analytics solution to a domestic car showroom. The article shifted from medical institution data infrastructure to a car showroom case.
The key focus of this expansion is the automation of manual customer-type analysis using AI. Deeping Source plans to broaden its application scope by automating existing manual customer analysis with AI video analytics at a domestic car showroom.
Deeping Source has been using AI video analytics at showrooms to analyze visitor numbers, customer movement paths, dwell time, and funnel analysis.
Deeping Source added a feature to classify visitors by group, such as whether they were accompanied by family members, and also added a customer-type analysis function for identifying visitor group types. This has laid the groundwork for integrated analysis of customer characteristics beyond customer behavior analysis.
Deeping Source automated related processes through AI video analytics. The AI performs automatic classification of customer groups based on video analysis and automatically generates statistical data, helping reduce repetitive manual tallying work and supporting the securement of consistent customer data.
The source for the Blux agent screen is Blux.
Blux announced on the 13th that it has launched "Blux 2.0," an agent for autonomous operation across the entire CRM marketing process. "Blux 2.0" operates in a single environment from data analysis to planning and execution.
Blux unveiled its conversational AI CRM marketing agent, "Blux 1.0," in November last year. The company said the Blux agent supports CRM marketing campaigns through natural language prompt commands and click-based suggestions in a conversational agent environment. It also said the system can be used by novice marketers and is suitable for small marketing teams that operate without developers or designers.
The existing 1.0 version focused on data analysis through natural language Q&A, along with chart and insight generation. The new 2.0 version is more advanced than the previous one and was presented as a "full-funnel execution-type teammate" that fully automates the campaign execution stage. The company said 2.0 helps reduce the burden of manual setup for marketers and allows them to focus on decision-making such as review and approval.
Source: IT DAILY · Yang Seung-gap
Original: https://www.itdaily.kr/news/articleView.html?idxno=240990
References
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Source: IT DAILY
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