Yeom Dong-hoon, CEO of Megazone Cloud, holds a press briefing at Lotte Hotel Seoul on the 14th and says the company serves as an enterprise AI orchestrator to resolve the "multi-agent" confusion./Courtesy of Ahn Sang-hee

We turned operating profit to black for the first time last year. From now on, we will serve as an enterprise AI orchestrator to resolve the chaos of multi-agent systems, in which multiple artificial intelligences (AI) divide roles and collaborate. It is hard to say the exact timing of the initial public offering (IPO), but we are speeding up.

Chief Executive Officer Yeom Dong-hoon of Megazone Cloud held a press briefing at Lotte Hotel Seoul on the 14th and said, This year can deliver better results than last year.

Yeom said, Corporations will end up running hundreds of AI SaaS (software as a service) applications and custom agents at the same time, adding, A multi-agent environment without a control framework will lead to severe confusion. He continued, In such an environment, the role of an enterprise AI orchestrator with deep understanding of industry, solutions, and technology is essential.

Megazone Cloud is an AI and cloud company with about 2,000 cloud and AI technology experts. It has about 8,000 customers at home and abroad. Megazone Cloud operates local subsidiaries in 10 countries, including Korea, North America, Japan, Southeast Asia, Australia, and the Middle East. Megazone Cloud turned an operating profit last year for the first time since its founding, posting operating profit of 233.06 million won on a consolidation basis. Last year's revenue came in at 1.7496 trillion won, up 27.9% from the previous year. Net profit also turned positive at 8.2 billion won.

Yeom said, Following the Customer Zero principle that you cannot guide others down a path you have not walked yourself, we applied AI to in-house tasks and achieved remarkable productivity gains, adding, Work that used to take a developer three days was completed in one hour, and we confirmed that a single senior engineer is delivering productivity on par with a team of five to seven.

He said, Megazone Cloud has responded to the technical demands of various industries and built experience through about 8,000 customers and some 200 partners, adding, The only AI orchestrator that has all the technology, experience, and understanding needed for customers' AI transition is Megazone Cloud.

At the event, Yeom, along with Chief AI Officer Gong Seong-bae, HALO (security brand) unit head Wi Su-young, and Chief Revenue Officer (CRO) Hwang In-cheol, took the stage as speakers to present execution plans to translate corporations' AI adoption into tangible results through AI business direction, security frameworks for the AI era, and industry-specific offering strategies.

CRO Hwang In-cheol said, Last year we carried out a variety of AI projects for the most demanding financial-sector clients and built experience solving complex issues such as network separation, audit response, and affiliate-specific authorization policies, adding, We will serve as an enterprise AI orchestrator across diverse fields including manufacturing and energy, bio and healthcare, mobility, and the public sector.

Chief AI Officer Gong Seong-bae introduced the company's AI FDE organization. Gong said, The AI FDE (forward deployed engineer) organization consists of a 150-strong workforce that has built hands-on experience by executing AI projects on customer sites since the declaration of an AI-native transition last year, adding, By invigorating FDE operations, we will continuously advance our experience and know-how to maximize customers' AI project return on investment (ROI).

HALO unit head Wi Su-young said, In an era when agentic AI launches attacks without human instructions, a new defense paradigm is needed, adding, HALO provides a hyper-automated response system in which AI independently decides and responds from detection to remediation to overwhelm the speed of AI attacks that people cannot keep up with. Wi added, HALO revenue grew 400% last year from the previous year.

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