AI and cloud company MegazoneCloud unveiled a vision to serve as an enterprise AI orchestrator, helping companies resolve problems and confusion that come with building multi-agent systems.

MegazoneCloud CEO Donghoon Yum (염동훈) held a media day at Lotte Hotel Seoul on Wednesday. “Before long, companies will be operating hundreds of AI SaaS applications and customised agents at the same time,” he said. “A multi-agent environment without a control system will lead to serious confusion. In such an environment, the role of an enterprise AI orchestrator with deep understanding of industries, solutions and technology is essential,” he added.

MegazoneCloud has focused on providing customers with what it experienced and validated in advance as an AI native. The AI-native strategy also had a direct impact on improving the company’s performance.

Yum said the company achieved surprising productivity gains by applying AI to internal work under its “Customer Zero” principle that it cannot guide others down a path it has not walked itself. He said work that used to take an existing developer 3 days was completed in 1 hour, and that the company confirmed a single senior engineer was delivering productivity equivalent to a team of 5 to 7 people.

He also said the AI-native strategy was reflected in results, including the company’s first operating profit since its founding last year, a 28 percent rise in revenue and overseas revenue surpassing $100 million. Based on that, he said, the company will take on the role of an enterprise AI orchestrator this year to resolve multi-agent confusion.

At the event, Yum and speakers including Seong-bae Kong (공성배), chief AI officer, Soo-young Wee (위수영), head of the HALO unit, and In-cheol Hwang (황인철), chief revenue officer, presented execution plans to connect enterprise AI adoption to tangible results. They covered AI business direction, security systems in the AI era and industry-specific offering strategies.

Kong introduced the performance of the AI FDE organisation in a presentation titled “The Era of ROI: Profit-focused AI execution strategy and AI FDE.”

Kong said the AI FDE (forward deployed engineer) organisation comprises a staff of 150 who built hands-on experience by carrying out AI projects at customer sites since last year’s declaration of an AI-native transition. He said the company will continuously advance experience and know-how by energising FDE operations to maximise ROI for customers’ AI projects.

Wee said in a presentation titled “Security threats accelerated by AI, real-time defence with AI” that a new defence paradigm is needed in an era when agentic AI launches attacks without human instructions. “To overwhelm the speed of AI attacks that humans cannot keep up with, HALO provides a hyper-automated response system in which AI itself judges and responds from detection to action,” he said.

Wee said HALO revenue grew 400 percent year-on-year last year and said it will continue steep growth this year based on HALO’s hyper-automated response system.

Hwang said in a presentation titled “Industry offerings based on understanding customers’ businesses” that a single technology or one specific solution cannot resolve companies’ complex requirements. He said the role of an enterprise AI orchestrator is to ensure customers’ AI investment translates into ROI through industry offerings. He said the company accumulated experience by carrying out various AI projects last year for financial-sector customers with the highest level of difficulty, resolving complex issues such as network separation, audit responses and authority policies by affiliate. He said it will serve as an enterprise AI orchestrator across areas including manufacturing and energy, bio and healthcare, mobility and the public sector.